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<li class="md-nav__item">
|
||||
<a href="/how-to-guides/configure-service/" class="md-nav__link">
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How to configure GreatAI
|
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</a>
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||||
</li>
|
||||
|
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|
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|
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<li class="md-nav__item">
|
||||
<a href="/how-to-guides/use-service/" class="md-nav__link">
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How to use a GreatAI service
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</li>
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<li class="md-nav__item">
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<a href="/how-to-guides/handle-training-data/" class="md-nav__link">
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How to handle training data
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</li>
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<li class="md-nav__item">
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<a href="/how-to-guides/large_file/" class="md-nav__link">
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How to use LargeFile
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</a>
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</li>
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<a href="/how-to-guides/call_remote.md" class="md-nav__link">
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None
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</a>
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<li class="md-nav__item">
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<a href="/how-to-guides/scraping/" class="md-nav__link">
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Scraping
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</a>
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</ul>
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<li class="md-nav__item">
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<a href="/reference/" class="md-nav__link">
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Reference
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GreatAI reference
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</a>
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</li>
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@ -458,6 +542,115 @@
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<li class="md-nav__item md-nav__item--nested">
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<label class="md-nav__link" for="__nav_5">
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Examples
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Examples
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5_1" type="checkbox" id="__nav_5_1" >
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<label class="md-nav__link" for="__nav_5_1">
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Explainable Naive Bayes
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" aria-label="Explainable Naive Bayes" data-md-level="2">
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<label class="md-nav__title" for="__nav_5_1">
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<span class="md-nav__icon md-icon"></span>
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Explainable Naive Bayes
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="/examples/simple/data/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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</a>
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</li>
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<li class="md-nav__item">
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<a href="/examples/simple/train/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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</a>
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</li>
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<li class="md-nav__item">
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<a href="/examples/simple/deploy/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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</a>
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||||
</li>
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||||
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</ul>
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</nav>
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<a href="/explanation/" class="md-nav__link">
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Explanation
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@ -360,6 +360,90 @@
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<li class="md-nav__item">
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<a href="../../../how-to-guides/configure-service/" class="md-nav__link">
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How to configure GreatAI
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</a>
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||||
</li>
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|
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|
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<li class="md-nav__item">
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<a href="../../../how-to-guides/use-service/" class="md-nav__link">
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How to use a GreatAI service
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../../how-to-guides/handle-training-data/" class="md-nav__link">
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How to handle training data
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../../how-to-guides/large_file/" class="md-nav__link">
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How to use LargeFile
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../../how-to-guides/call_remote.md" class="md-nav__link">
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None
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../../how-to-guides/scraping/" class="md-nav__link">
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Scraping
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</a>
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</li>
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||||
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</ul>
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</nav>
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</li>
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@ -401,7 +485,7 @@
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<li class="md-nav__item">
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<a href="../../../reference/" class="md-nav__link">
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Reference
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GreatAI reference
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</a>
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||||
</li>
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||||
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@ -463,6 +547,115 @@
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5" type="checkbox" id="__nav_5" >
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<label class="md-nav__link" for="__nav_5">
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Examples
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<span class="md-nav__icon md-icon"></span>
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</label>
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||||
<nav class="md-nav" aria-label="Examples" data-md-level="1">
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<label class="md-nav__title" for="__nav_5">
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<span class="md-nav__icon md-icon"></span>
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||||
Examples
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5_1" type="checkbox" id="__nav_5_1" >
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<label class="md-nav__link" for="__nav_5_1">
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||||
Explainable Naive Bayes
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" aria-label="Explainable Naive Bayes" data-md-level="2">
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<label class="md-nav__title" for="__nav_5_1">
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<span class="md-nav__icon md-icon"></span>
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Explainable Naive Bayes
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../simple/data/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../simple/train/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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</a>
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</li>
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<a href="../../simple/deploy/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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</a>
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</li>
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</ul>
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</nav>
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Explanation
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"output_type": "stream",
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"text": [
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"\u001b[38;5;226m2022-06-25 14:25:24,989 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,990 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongodbDriver\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,990 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongoDbDriver\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,991 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising LargeFileMongo\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,992 | INFO | Settings: configured ✅\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,993 | INFO | 🔩 tracing_database: MongodbDriver\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,993 | INFO | 🔩 tracing_database: MongoDbDriver\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,994 | INFO | 🔩 large_file_implementation: LargeFileMongo\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,994 | INFO | 🔩 is_production: False\u001b[0m\n",
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"\u001b[38;5;39m2022-06-25 14:25:24,995 | INFO | 🔩 should_log_exception_stack: True\u001b[0m\n",
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<li class="md-nav__item">
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<a href="../../../how-to-guides/configure-service/" class="md-nav__link">
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How to configure GreatAI
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</a>
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</li>
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||||
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<li class="md-nav__item">
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<a href="../../../how-to-guides/use-service/" class="md-nav__link">
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How to use a GreatAI service
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</a>
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||||
</li>
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||||
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||||
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||||
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||||
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<li class="md-nav__item">
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<a href="../../../how-to-guides/handle-training-data/" class="md-nav__link">
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How to handle training data
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</a>
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||||
</li>
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||||
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||||
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<li class="md-nav__item">
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<a href="../../../how-to-guides/large_file/" class="md-nav__link">
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How to use LargeFile
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</a>
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||||
</li>
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||||
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||||
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||||
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||||
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<li class="md-nav__item">
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<a href="../../../how-to-guides/call_remote.md" class="md-nav__link">
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None
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../../how-to-guides/scraping/" class="md-nav__link">
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Scraping
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</a>
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||||
</li>
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||||
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||||
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</ul>
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</nav>
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</li>
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<li class="md-nav__item">
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<a href="../../../reference/" class="md-nav__link">
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Reference
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GreatAI reference
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</a>
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||||
</li>
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||||
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||||
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@ -462,6 +546,194 @@
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||||
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<li class="md-nav__item md-nav__item--active md-nav__item--nested">
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||||
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||||
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||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5" type="checkbox" id="__nav_5" checked>
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||||
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||||
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||||
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||||
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||||
<label class="md-nav__link" for="__nav_5">
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Examples
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<span class="md-nav__icon md-icon"></span>
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</label>
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||||
<nav class="md-nav" aria-label="Examples" data-md-level="1">
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||||
<label class="md-nav__title" for="__nav_5">
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<span class="md-nav__icon md-icon"></span>
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||||
Examples
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||||
</label>
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||||
<ul class="md-nav__list" data-md-scrollfix>
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||||
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||||
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||||
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||||
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<li class="md-nav__item md-nav__item--active md-nav__item--nested">
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||||
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||||
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||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5_1" type="checkbox" id="__nav_5_1" checked>
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||||
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||||
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||||
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||||
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||||
<label class="md-nav__link" for="__nav_5_1">
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||||
Explainable Naive Bayes
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||||
<span class="md-nav__icon md-icon"></span>
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||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Explainable Naive Bayes" data-md-level="2">
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||||
<label class="md-nav__title" for="__nav_5_1">
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||||
<span class="md-nav__icon md-icon"></span>
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||||
Explainable Naive Bayes
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||||
</label>
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||||
<ul class="md-nav__list" data-md-scrollfix>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
<li class="md-nav__item md-nav__item--active">
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||||
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||||
<input class="md-nav__toggle md-toggle" data-md-toggle="toc" type="checkbox" id="__toc">
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||||
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||||
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||||
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||||
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||||
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||||
<label class="md-nav__link md-nav__link--active" for="__toc">
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||||
Train a domain classifier on the semantic scholar dataset
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||||
<span class="md-nav__icon md-icon"></span>
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||||
</label>
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||||
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||||
<a href="./" class="md-nav__link md-nav__link--active">
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||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
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|
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|
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|
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Extract
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|
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|
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<a href="#transform" class="md-nav__link">
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|
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<li class="md-nav__item">
|
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<a href="../train/" class="md-nav__link">
|
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Train a domain classifier on the semantic scholar dataset
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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Train a domain classifier on the semantic scholar dataset
|
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@ -2020,10 +2292,10 @@ add_ground_truth(X, y, train_split_ratio=0.8, test_split_ratio=0.2)</div>
|
|||
|
||||
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
|
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<pre><span style="color: rgb(255,255,0)">2022-06-25 14:25:24,989 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️</span>
|
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<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,990 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongodbDriver</span>
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||||
<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,990 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongoDbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,991 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising LargeFileMongo</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,992 | INFO | Settings: configured ✅</span>
|
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<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,993 | INFO | 🔩 tracing_database: MongodbDriver</span>
|
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<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,993 | INFO | 🔩 tracing_database: MongoDbDriver</span>
|
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<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,994 | INFO | 🔩 large_file_implementation: LargeFileMongo</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,994 | INFO | 🔩 is_production: False</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:25:24,995 | INFO | 🔩 should_log_exception_stack: True</span>
|
||||
|
|
@ -2078,6 +2350,42 @@ add_ground_truth(X, y, train_split_ratio=0.8, test_split_ratio=0.2)</div>
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<a href="../train/" class="md-footer__link md-footer__link--next" aria-label="Next: Train a domain classifier on the semantic scholar dataset" rel="next">
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@ -24,10 +24,10 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[38;5;226m2022-06-25 14:57:20,629 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,629 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongodbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,629 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongoDbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,630 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising LargeFileMongo\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,631 | INFO | Settings: configured ✅\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,631 | INFO | 🔩 tracing_database: MongodbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,631 | INFO | 🔩 tracing_database: MongoDbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,631 | INFO | 🔩 large_file_implementation: LargeFileMongo\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,632 | INFO | 🔩 is_production: False\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:57:20,633 | INFO | 🔩 should_log_exception_stack: True\u001b[0m\n",
|
||||
|
|
|
|||
|
|
@ -360,6 +360,90 @@
|
|||
|
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|
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|
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|
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|
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|
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|
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<li class="md-nav__item">
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<a href="../../../how-to-guides/configure-service/" class="md-nav__link">
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How to configure GreatAI
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<a href="../../../how-to-guides/use-service/" class="md-nav__link">
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How to use a GreatAI service
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</li>
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<li class="md-nav__item">
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<a href="../../../how-to-guides/handle-training-data/" class="md-nav__link">
|
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How to handle training data
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|
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</li>
|
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|
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|
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|
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|
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<li class="md-nav__item">
|
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<a href="../../../how-to-guides/large_file/" class="md-nav__link">
|
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How to use LargeFile
|
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</a>
|
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</li>
|
||||
|
||||
|
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|
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|
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|
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<li class="md-nav__item">
|
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<a href="../../../how-to-guides/call_remote.md" class="md-nav__link">
|
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None
|
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</a>
|
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</li>
|
||||
|
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|
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|
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|
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<li class="md-nav__item">
|
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<a href="../../../how-to-guides/scraping/" class="md-nav__link">
|
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Scraping
|
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|
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|
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</ul>
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</nav>
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@ -401,7 +485,7 @@
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<li class="md-nav__item">
|
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<a href="../../../reference/" class="md-nav__link">
|
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Reference
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GreatAI reference
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|
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|
|
@ -462,6 +546,160 @@
|
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<li class="md-nav__item md-nav__item--active md-nav__item--nested">
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<li class="md-nav__item md-nav__item--active md-nav__item--nested">
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<ul class="md-nav__list" data-md-scrollfix>
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<a href="../data/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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|
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</li>
|
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|
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|
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|
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<li class="md-nav__item">
|
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<a href="../train/" class="md-nav__link">
|
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Train a domain classifier on the semantic scholar dataset
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</a>
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</li>
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|
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|
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Train a domain classifier on the semantic scholar dataset
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<span class="md-nav__icon md-icon"></span>
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<a href="./" class="md-nav__link md-nav__link--active">
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<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
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Check accuracy on the test split
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<li class="md-nav__item">
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<a href="../../../explanation/" class="md-nav__link">
|
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|
|
@ -1757,10 +1995,10 @@ def get_label(
|
|||
|
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<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
|
||||
<pre><span style="color: rgb(255,255,0)">2022-06-25 14:57:20,629 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,629 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongodbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,629 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongoDbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,630 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising LargeFileMongo</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,631 | INFO | Settings: configured ✅</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,631 | INFO | 🔩 tracing_database: MongodbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,631 | INFO | 🔩 tracing_database: MongoDbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,631 | INFO | 🔩 large_file_implementation: LargeFileMongo</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,632 | INFO | 🔩 is_production: False</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:57:20,633 | INFO | 🔩 should_log_exception_stack: True</span>
|
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|
|
@ -1991,6 +2229,42 @@ class="
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<footer class="md-footer">
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|||
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|||
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||||
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||||
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|
||||
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|
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|
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How to configure GreatAI
|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
||||
<a href="../../../how-to-guides/large_file/" class="md-nav__link">
|
||||
How to use LargeFile
|
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|
||||
</li>
|
||||
|
||||
|
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|
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|
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|
||||
|
||||
|
||||
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||||
<li class="md-nav__item">
|
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<a href="../../../how-to-guides/call_remote.md" class="md-nav__link">
|
||||
None
|
||||
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|
||||
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|
||||
|
||||
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|
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||||
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|
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|
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Scraping
|
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||||
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||||
|
||||
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|
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|
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Reference
|
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|
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|
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|
|
@ -462,6 +546,187 @@
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|
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Train a domain classifier on the semantic scholar dataset
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|
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||||
|
||||
|
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Train a domain classifier on the semantic scholar dataset
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|
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|
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Load data that has been extracted in part 1
|
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|
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<a href="#optimise-and-train-multinomial-naive-bayes-classifier" class="md-nav__link">
|
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Optimise and train Multinomial Naive Bayes classifier
|
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|
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|
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|
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|
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<a href="#export-the-model-using-greatai" class="md-nav__link">
|
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|
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|
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<nav class="md-nav" aria-label="Export the model using GreatAI">
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Next: Part 3
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||||
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||||
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||||
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||||
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||||
</li>
|
||||
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||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../deploy/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
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|
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|
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|
||||
|
||||
|
||||
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|
||||
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|
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|
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||||
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||||
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||||
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||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../../explanation/" class="md-nav__link">
|
||||
|
|
@ -1668,10 +1933,10 @@ y = [domain for d in data for domain in d.feedback]</div>
|
|||
|
||||
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
|
||||
<pre><span style="color: rgb(255,255,0)">2022-06-25 14:50:29,879 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,880 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongodbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,880 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongoDbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,881 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising LargeFileMongo</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,881 | INFO | Settings: configured ✅</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,882 | INFO | 🔩 tracing_database: MongodbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,882 | INFO | 🔩 tracing_database: MongoDbDriver</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,883 | INFO | 🔩 large_file_implementation: LargeFileMongo</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,883 | INFO | 🔩 is_production: False</span>
|
||||
<span style="color: rgb(0,175,255)">2022-06-25 14:50:29,884 | INFO | 🔩 should_log_exception_stack: True</span>
|
||||
|
|
@ -2598,6 +2863,42 @@ save_model(classifier, key="small-domain-prediction", keep_last_n=5)</div>
|
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|
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Train a domain classifier on the semantic scholar dataset
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|
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11H4Z"/></svg>
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|
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|
|||
|
|
@ -33,10 +33,10 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[38;5;226m2022-06-25 14:50:29,879 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,880 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongodbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,880 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising MongoDbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,881 | INFO | Found credentials file (/data/projects/great_ai_example/mongo.ini), initialising LargeFileMongo\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,881 | INFO | Settings: configured ✅\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,882 | INFO | 🔩 tracing_database: MongodbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,882 | INFO | 🔩 tracing_database: MongoDbDriver\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,883 | INFO | 🔩 large_file_implementation: LargeFileMongo\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,883 | INFO | 🔩 is_production: False\u001b[0m\n",
|
||||
"\u001b[38;5;39m2022-06-25 14:50:29,884 | INFO | 🔩 should_log_exception_stack: True\u001b[0m\n",
|
||||
|
|
|
|||
|
|
@ -3,5 +3,5 @@
|
|||
A lot more details and discussion about the problem context and approaches of GreatAI can be found in my thesis.
|
||||
|
||||
<div style="display: flex; justify-content: space-evenly;" markdown>
|
||||
[::fontawesome-solid-graduation-cap: Download](thesis/main.py){ .md-button .md-button--primary }
|
||||
[::fontawesome-solid-graduation-cap: Download](thesis/main.pdf){ .md-button .md-button--primary }
|
||||
</div>
|
||||
|
|
|
|||
|
|
@ -360,6 +360,90 @@
|
|||
|
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|
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|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
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|
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How to configure GreatAI
|
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|
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</li>
|
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||||
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|
||||
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|
||||
<a href="../how-to-guides/use-service/" class="md-nav__link">
|
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How to use a GreatAI service
|
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|
||||
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|
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|
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|
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||||
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||||
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||||
|
||||
<li class="md-nav__item">
|
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<a href="../how-to-guides/handle-training-data/" class="md-nav__link">
|
||||
How to handle training data
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
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|
||||
|
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|
||||
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||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../how-to-guides/large_file/" class="md-nav__link">
|
||||
How to use LargeFile
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
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|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
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<a href="../how-to-guides/call_remote.md" class="md-nav__link">
|
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None
|
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|
||||
|
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|
||||
<li class="md-nav__item">
|
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<a href="../how-to-guides/scraping/" class="md-nav__link">
|
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Scraping
|
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</a>
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|
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|
||||
|
||||
</ul>
|
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</nav>
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|
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@ -401,7 +485,7 @@
|
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|
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<li class="md-nav__item">
|
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<a href="../reference/" class="md-nav__link">
|
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Reference
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GreatAI reference
|
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</a>
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</li>
|
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|
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|
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@ -462,6 +546,115 @@
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<ul class="md-nav__list" data-md-scrollfix>
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Train a domain classifier on the semantic scholar dataset
|
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</a>
|
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</li>
|
||||
|
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|
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|
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|
||||
|
||||
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<a href="../examples/simple/train/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../examples/simple/deploy/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
@ -523,7 +716,7 @@
|
|||
<h1 id="explanation">Explanation<a class="headerlink" href="#explanation" title="Permanent link">#</a></h1>
|
||||
<p>A lot more details and discussion about the problem context and approaches of GreatAI can be found in my thesis.</p>
|
||||
<div style="display: flex; justify-content: space-evenly;">
|
||||
<p><a class="md-button md-button--primary" href="thesis/main.py">:<span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M623.1 136.9 340.4 35.7a62.951 62.951 0 0 0-42.43 0L16.05 136.9C6.438 140.4 0 149.6 0 160s6.438 19.65 16.05 23.09l60.02 21.51c-11.89 15.8-20.26 34.16-24.55 53.95C40.05 263.4 32 274.8 32 288c0 9.953 4.814 18.49 11.94 24.36l-24.83 149C17.48 471.1 25 480 34.89 480h58.22c9.887 0 17.41-8.879 15.78-18.63l-24.83-149C91.19 306.5 96 297.1 96 288c0-10.29-5.174-19.03-12.72-24.89a106.301 106.301 0 0 1 24.94-47.03l190.6 68.23a62.951 62.951 0 0 0 42.43 0l282.7-101.2C633.6 179.6 640 170.4 640 160s-6.4-19.6-16.9-23.1zm-272 177.5c-9.4 3.7-20.2 5.6-31.1 5.6a94.767 94.767 0 0 1-32-5.555L142.8 262.5 128 405.3c0 41.3 85.1 74.7 192 74.7 105.1 0 192-33.4 192-74.67l-14.78-142.9L351.1 314.4z"/></svg></span> Download</a></p>
|
||||
<p><a class="md-button md-button--primary" href="thesis/main.pdf">:<span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M623.1 136.9 340.4 35.7a62.951 62.951 0 0 0-42.43 0L16.05 136.9C6.438 140.4 0 149.6 0 160s6.438 19.65 16.05 23.09l60.02 21.51c-11.89 15.8-20.26 34.16-24.55 53.95C40.05 263.4 32 274.8 32 288c0 9.953 4.814 18.49 11.94 24.36l-24.83 149C17.48 471.1 25 480 34.89 480h58.22c9.887 0 17.41-8.879 15.78-18.63l-24.83-149C91.19 306.5 96 297.1 96 288c0-10.29-5.174-19.03-12.72-24.89a106.301 106.301 0 0 1 24.94-47.03l190.6 68.23a62.951 62.951 0 0 0 42.43 0l282.7-101.2C633.6 179.6 640 170.4 640 160s-6.4-19.6-16.9-23.1zm-272 177.5c-9.4 3.7-20.2 5.6-31.1 5.6a94.767 94.767 0 0 1-32-5.555L142.8 262.5 128 405.3c0 41.3 85.1 74.7 192 74.7 105.1 0 192-33.4 192-74.67l-14.78-142.9L351.1 314.4z"/></svg></span> Download</a></p>
|
||||
</div>
|
||||
|
||||
<hr>
|
||||
|
|
@ -531,7 +724,7 @@
|
|||
<small>
|
||||
|
||||
Last update:
|
||||
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 9, 2022</span>
|
||||
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 11, 2022</span>
|
||||
|
||||
|
||||
</small>
|
||||
|
|
@ -552,7 +745,7 @@
|
|||
<nav class="md-footer__inner md-grid" aria-label="Footer" >
|
||||
|
||||
|
||||
<a href="../reference/views/" class="md-footer__link md-footer__link--prev" aria-label="Previous: View models" rel="prev">
|
||||
<a href="../examples/simple/deploy/" class="md-footer__link md-footer__link--prev" aria-label="Previous: Train a domain classifier on the semantic scholar dataset" rel="prev">
|
||||
<div class="md-footer__button md-icon">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg>
|
||||
</div>
|
||||
|
|
@ -561,7 +754,7 @@
|
|||
<span class="md-footer__direction">
|
||||
Previous
|
||||
</span>
|
||||
View models
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</div>
|
||||
</div>
|
||||
</a>
|
||||
|
|
|
|||
|
|
@ -0,0 +1,2 @@
|
|||
# Call remote GreatAI instances
|
||||
|
||||
|
|
@ -17,7 +17,7 @@
|
|||
|
||||
|
||||
|
||||
<title>Call remote - GreatAI documentation</title>
|
||||
<title>Call remote GreatAI instances - GreatAI documentation</title>
|
||||
|
||||
|
||||
|
||||
|
|
@ -69,6 +69,11 @@
|
|||
<label class="md-overlay" for="__drawer"></label>
|
||||
<div data-md-component="skip">
|
||||
|
||||
|
||||
<a href="#call-remote-greatai-instances" class="md-skip">
|
||||
Skip to content
|
||||
</a>
|
||||
|
||||
</div>
|
||||
<div data-md-component="announce">
|
||||
|
||||
|
|
@ -98,7 +103,7 @@
|
|||
<div class="md-header__topic" data-md-component="header-topic">
|
||||
<span class="md-ellipsis">
|
||||
|
||||
Call remote
|
||||
Call remote GreatAI instances
|
||||
|
||||
</span>
|
||||
</div>
|
||||
|
|
@ -355,6 +360,90 @@
|
|||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../configure-service/" class="md-nav__link">
|
||||
How to configure GreatAI
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../use-service/" class="md-nav__link">
|
||||
How to use a GreatAI service
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../handle-training-data/" class="md-nav__link">
|
||||
How to handle training data
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../large_file/" class="md-nav__link">
|
||||
How to use LargeFile
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../call_remote.md" class="md-nav__link">
|
||||
None
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../scraping/" class="md-nav__link">
|
||||
Scraping
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
|
@ -396,7 +485,7 @@
|
|||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/" class="md-nav__link">
|
||||
Reference
|
||||
GreatAI reference
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
|
@ -458,6 +547,115 @@
|
|||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
||||
|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5" type="checkbox" id="__nav_5" >
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link" for="__nav_5">
|
||||
Examples
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Examples" data-md-level="1">
|
||||
<label class="md-nav__title" for="__nav_5">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Examples
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
||||
|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5_1" type="checkbox" id="__nav_5_1" >
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link" for="__nav_5_1">
|
||||
Explainable Naive Bayes
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Explainable Naive Bayes" data-md-level="2">
|
||||
<label class="md-nav__title" for="__nav_5_1">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Explainable Naive Bayes
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../examples/simple/data/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../examples/simple/train/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../examples/simple/deploy/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../explanation/" class="md-nav__link">
|
||||
Explanation
|
||||
|
|
@ -483,6 +681,8 @@
|
|||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
</nav>
|
||||
</div>
|
||||
|
|
@ -503,16 +703,14 @@
|
|||
|
||||
|
||||
|
||||
<h1>Call remote</h1>
|
||||
|
||||
|
||||
<h1 id="call-remote-greatai-instances">Call remote GreatAI instances<a class="headerlink" href="#call-remote-greatai-instances" title="Permanent link">#</a></h1>
|
||||
|
||||
<hr>
|
||||
<div class="md-source-file">
|
||||
<small>
|
||||
|
||||
Last update:
|
||||
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 10, 2022</span>
|
||||
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 11, 2022</span>
|
||||
|
||||
|
||||
</small>
|
||||
|
|
|
|||
101
how-to-guides/configure-service/configure-service.md
Normal file
101
how-to-guides/configure-service/configure-service.md
Normal file
|
|
@ -0,0 +1,101 @@
|
|||
# How to configure GreatAI
|
||||
|
||||
GreatAI aims to provide reasonable defaults wherever possible. The current configuration is always prominently displayed (and updated) on the dashboard and in the command-line startup banner.
|
||||
|
||||
## Using [great_ai.configure][]
|
||||
|
||||
You can override any of the default settings by calling [great_ai.configure][]. If you don't call `configure`, the default settings are applied on the first call to most `great-ai` functions.
|
||||
|
||||
!!! warning
|
||||
You must call [great_ai.configure][] before calling (or decorating with) any other `great-ai` function. However, importing other functions before calling [great_ai.configure][] is permitted.
|
||||
|
||||
```python title="configure-demo.py"
|
||||
from great_ai import configure, RouteConfig
|
||||
import logging
|
||||
|
||||
configure(
|
||||
version='1.0.0',
|
||||
log_level=logging.INFO,
|
||||
seed=2,
|
||||
should_log_exception_stack=False,
|
||||
prediction_cache_size=0, #(1)
|
||||
disable_se4ml_banner=True,
|
||||
dashboard_table_size=200,
|
||||
route_config=RouteConfig( #(2)
|
||||
feedback_endpoints_enabled=False,
|
||||
dashboard_enabled=False
|
||||
)
|
||||
)
|
||||
```
|
||||
|
||||
1. Completely disable caching.
|
||||
2. The unspecified routes are enabled by default.
|
||||
|
||||
## Using remote storage
|
||||
|
||||
The only aspect that cannot be automated is choosing the backing storage for the database and file storage.
|
||||
|
||||
Right now, you have 3 options for storing the models and large datasets: [great_ai.large_file.LargeFileLocal][], [great_ai.large_file.LargeFileMongo][], and [great_ai.large_file.LargeFileS3][].
|
||||
|
||||
Without explicit configuration, [great_ai.large_file.LargeFileLocal][] is selected by default. This one still version-controls your files but it only stores them in a local path.
|
||||
|
||||
!!! important
|
||||
If your working directory contains a `mongo.ini` or `s3.ini` file, an attempt is made to auto-configure [LargeFileMongo][great_ai.large_file.LargeFileMongo] or [LargeFileS3][great_ai.large_file.LargeFileS3] respectively.
|
||||
|
||||
To use [LargeFileMongo][great_ai.large_file.LargeFileMongo] or [LargeFileS3][great_ai.large_file.LargeFileS3] explicitly, configure them before calling any other `great-ai` function.
|
||||
|
||||
### S3-compatible
|
||||
|
||||
```toml title="s3.ini"
|
||||
aws_region_name = eu-west-2
|
||||
aws_access_key_id = MY_AWS_ACCESS_KEY # ENV:MY_AWS_ACCESS_KEY would also work
|
||||
aws_secret_access_key = MY_AWS_SECRET_KEY
|
||||
large_files_bucket_name = bucket-for-models
|
||||
```
|
||||
|
||||
```python title="use-s3.py"
|
||||
from great_ai.large_file import LargeFileS3
|
||||
from great_ai import save_model
|
||||
|
||||
LargeFileS3.configure_credentials_from_file('s3.ini') #(1)
|
||||
|
||||
model = [4, 3]
|
||||
save_model(model, 'my-model')
|
||||
```
|
||||
|
||||
1. This line isn't strictly necceseary because if `s3.ini` (or `mongo.ini`) is available in the current working directory, they are automatically used to configure their respective LargeFile implementations/databases.
|
||||
|
||||
??? note "Departing from AWS"
|
||||
With the `aws_endpoint_url` argument, it is possible to use any other S3-compatible service such as [Backblaze](https://www.backblaze.com/){ target=_blank }. In that case, it would be `aws_endpoint_url=https://s3.us-west-002.backblazeb2.com`.
|
||||
|
||||
### GridFS
|
||||
|
||||
[GridFS](https://www.mongodb.com/docs/manual/core/gridfs/#:~:text=GridFS%20is%20a%20specification%20for,chunk%20as%20a%20separate%20document.){ target=_blank } specifies how to store files in MongoDB. The official MongoDB server and many compatible implementations support it.
|
||||
|
||||
```toml title="mongo.ini"
|
||||
MONGO_CONNECTION_STRING=mongodb://localhost:27017 # this is the default value
|
||||
# if `MONGO_CONNECTION_STRING` is specified, this default is overridden
|
||||
MONGO_CONNECTION_STRING=ENV:MONGO_CONNECTION_STRING
|
||||
MONGO_DATABASE=my-database # it is automatically created if doesn't exist
|
||||
```
|
||||
|
||||
```python title="use-mongo.py"
|
||||
from great_ai.large_file import LargeFileMongo
|
||||
from great_ai import save_model
|
||||
|
||||
LargeFileMongo.configure_credentials_from_file('mongo.ini')
|
||||
|
||||
model = [4, 3]
|
||||
save_model(model, 'my-model')
|
||||
```
|
||||
|
||||
!!! note "Simplifying config files"
|
||||
You can combine `mongo.ini` or `s3.ini` with your application's config file because the unneeded keys are ignored by the `configure_credentials_from_file` method.
|
||||
|
||||
## Using a database
|
||||
|
||||
By default, a thread-safe version of [TinyDB](https://tinydb.readthedocs.io/en/latest/){ target=_blank } is utilised for saving the prediction traces into a local file. Unfortunately, for most production needs, this method is not suitable.
|
||||
|
||||
### MongoDB
|
||||
|
||||
At the moment, only MongoDB is supported as a production-ready `TracingDatabase`. In order to use it, you have to either place a file named `mongo.ini` in your working directory, or explicitly call [MongoDbDriver.configure_credentials_from_file][great_ai.MongoDbDriver.configure_credentials_from_file] or [MongoDbDriver.configure_credentials][great_ai.MongoDbDriver.configure_credentials].
|
||||
1053
how-to-guides/configure-service/index.html
Normal file
1053
how-to-guides/configure-service/index.html
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -1,6 +1,6 @@
|
|||
# How to create a GreatAI service
|
||||
|
||||
The core value of `great-ai` lies in its [GreatAI][great_ai.deploy.GreatAI] class. In order to take advantage of it, you need to create an instance wrapping your code.
|
||||
The core value of `great-ai` lies in its [GreatAI][great_ai.GreatAI] class. In order to take advantage of it, you need to create an instance wrapping your code.
|
||||
|
||||
Let's say that you have the following greeter function:
|
||||
|
||||
|
|
@ -9,7 +9,7 @@ def my_greeter_function(your_name):
|
|||
return f'Hi {your_name}!'
|
||||
```
|
||||
|
||||
You can simply decorate (wrap) this function using the [@GreatAI.create][great_ai.deploy.GreatAI.create] factory.
|
||||
You can simply decorate (wrap) this function using the [@GreatAI.create][great_ai.GreatAI.create] factory.
|
||||
|
||||
```python title="greeter.py"
|
||||
from great_ai import GreatAI
|
||||
|
|
@ -20,7 +20,7 @@ def greeter(your_name):
|
|||
```
|
||||
|
||||
??? info "Why not simply use `@GreatAI?`"
|
||||
The purpose of the [@GreatAI.create][great_ai.deploy.GreatAI.create] is simply to provide you with type-checking through MyPy, Pylance, and similar libraries. However, the overloading support for `__new__` is lacking in MyPy, thus, a static factory method is used instead.
|
||||
The purpose of the [@GreatAI.create][great_ai.GreatAI.create] is simply to provide you with type-checking through MyPy, Pylance, and similar libraries. However, the overloading support for `__new__` is lacking in MyPy, thus, a static factory method is used instead.
|
||||
|
||||
## With types
|
||||
|
||||
|
|
@ -52,9 +52,9 @@ async def async_greeter(your_name: str) -> str:
|
|||
|
||||
## With decorators
|
||||
|
||||
GreatAI can decorate already decorated functions. The only restriction is that [@GreatAI.create][great_ai.deploy.GreatAI.create] always has to come last. There are two built-in decorators that you can use to customise your function but you can you use any third-party decorator as well.
|
||||
GreatAI can decorate already decorated functions. The only restriction is that [@GreatAI.create][great_ai.GreatAI.create] always has to come last. There are two built-in decorators that you can use to customise your function but you can you use any third-party decorator as well.
|
||||
|
||||
### Using `use_model`
|
||||
### Using `@use_model`
|
||||
|
||||
If you have previously saved a model with [save_model][great_ai.save_model], you can inject it into your function by calling [@use_model][great_ai.use_model].
|
||||
|
||||
|
|
@ -72,14 +72,14 @@ assert type_safe_greeter('Andras').output == 'Hi Andras'
|
|||
1. By default, the parameter named `model` will be replaced by the loaded model. This behaviour can be customised by setting the `model_kwarg_name`. This way, even multiple models can be injected into a single function.
|
||||
|
||||
!!! important
|
||||
You must call [@use_model][great_ai.use_model] before [@GreatAI.create][great_ai.deploy.GreatAI.create]. Feel free to use [@use_model][great_ai.use_model] in other places of the codebase, it works equally well outside of GreatAI services.
|
||||
You must call [@use_model][great_ai.use_model] before [@GreatAI.create][great_ai.GreatAI.create]. Feel free to use [@use_model][great_ai.use_model] in other places of the codebase, it works equally well outside of GreatAI services.
|
||||
|
||||
### Using `parameter`
|
||||
### Using `@parameter`
|
||||
|
||||
If you wish to turn of logging or specify custom validation for your parameters, you can use the [@parameter][great_ai.parameter] decorator.
|
||||
|
||||
!!! note
|
||||
By default, all parameters that are not affected by an explicit [@parameter][great_ai.parameter] or [@use_model][great_ai.use_model] are automatically decorated with [@parameter][great_ai.parameter] when [@GreatAI.create][great_ai.deploy.GreatAI.create] is called.
|
||||
By default, all parameters that are not affected by an explicit [@parameter][great_ai.parameter] or [@use_model][great_ai.use_model] are automatically decorated with [@parameter][great_ai.parameter] when [@GreatAI.create][great_ai.GreatAI.create] is called.
|
||||
|
||||
```python title="greeter_with_validation.py"
|
||||
from great_ai import GreatAI, use_model
|
||||
|
|
@ -93,7 +93,7 @@ assert type_safe_greeter('Andras').output == 'Hi Andras'
|
|||
```
|
||||
|
||||
!!! important
|
||||
You must call [@parameter][great_ai.parameter] before [@GreatAI.create][great_ai.deploy.GreatAI.create]. Feel free to use [@parameter][great_ai.parameter] in other places of the codebase, it works equally well outside of GreatAI services.
|
||||
You must call [@parameter][great_ai.parameter] before [@GreatAI.create][great_ai.GreatAI.create]. Feel free to use [@parameter][great_ai.parameter] in other places of the codebase, it works equally well outside of GreatAI services.
|
||||
|
||||
## Complex example
|
||||
|
||||
|
|
|
|||
|
|
@ -411,14 +411,14 @@
|
|||
|
||||
<li class="md-nav__item">
|
||||
<a href="#using-use_model" class="md-nav__link">
|
||||
Using use_model
|
||||
Using @use_model
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#using-parameter" class="md-nav__link">
|
||||
Using parameter
|
||||
Using @parameter
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
|
@ -444,6 +444,90 @@
|
|||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../configure-service/" class="md-nav__link">
|
||||
How to configure GreatAI
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../use-service/" class="md-nav__link">
|
||||
How to use a GreatAI service
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../handle-training-data/" class="md-nav__link">
|
||||
How to handle training data
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../large_file/" class="md-nav__link">
|
||||
How to use LargeFile
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../call_remote.md" class="md-nav__link">
|
||||
None
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../scraping/" class="md-nav__link">
|
||||
Scraping
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
|
@ -485,7 +569,7 @@
|
|||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/" class="md-nav__link">
|
||||
Reference
|
||||
GreatAI reference
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
|
@ -547,6 +631,115 @@
|
|||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
||||
|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5" type="checkbox" id="__nav_5" >
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link" for="__nav_5">
|
||||
Examples
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Examples" data-md-level="1">
|
||||
<label class="md-nav__title" for="__nav_5">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Examples
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
||||
|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5_1" type="checkbox" id="__nav_5_1" >
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link" for="__nav_5_1">
|
||||
Explainable Naive Bayes
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Explainable Naive Bayes" data-md-level="2">
|
||||
<label class="md-nav__title" for="__nav_5_1">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Explainable Naive Bayes
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../examples/simple/data/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../examples/simple/train/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../examples/simple/deploy/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../explanation/" class="md-nav__link">
|
||||
Explanation
|
||||
|
|
@ -605,14 +798,14 @@
|
|||
|
||||
<li class="md-nav__item">
|
||||
<a href="#using-use_model" class="md-nav__link">
|
||||
Using use_model
|
||||
Using @use_model
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#using-parameter" class="md-nav__link">
|
||||
Using parameter
|
||||
Using @parameter
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
|
@ -688,7 +881,7 @@
|
|||
</code></pre></div>
|
||||
<h2 id="with-decorators">With decorators<a class="headerlink" href="#with-decorators" title="Permanent link">#</a></h2>
|
||||
<p>GreatAI can decorate already decorated functions. The only restriction is that <a class="autorefs autorefs-internal" href="../../reference/#great_ai.deploy.great_ai.GreatAI.create">@GreatAI.create</a> always has to come last. There are two built-in decorators that you can use to customise your function but you can you use any third-party decorator as well.</p>
|
||||
<h3 id="using-use_model">Using <code>use_model</code><a class="headerlink" href="#using-use_model" title="Permanent link">#</a></h3>
|
||||
<h3 id="using-use_model">Using <code>@use_model</code><a class="headerlink" href="#using-use_model" title="Permanent link">#</a></h3>
|
||||
<p>If you have previously saved a model with <a class="autorefs autorefs-internal" href="../../reference/#great_ai.save_model">save_model</a>, you can inject it into your function by calling <a class="autorefs autorefs-internal" href="../../reference/#great_ai.use_model">@use_model</a>.</p>
|
||||
<div class="highlight"><span class="filename">greeter_with_model.py</span><pre><span></span><code><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="kn">from</span> <span class="nn">great_ai</span> <span class="kn">import</span> <span class="n">GreatAI</span><span class="p">,</span> <span class="n">use_model</span>
|
||||
<a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a>
|
||||
|
|
@ -706,7 +899,7 @@
|
|||
<p class="admonition-title">Important</p>
|
||||
<p>You must call <a class="autorefs autorefs-internal" href="../../reference/#great_ai.use_model">@use_model</a> before <a class="autorefs autorefs-internal" href="../../reference/#great_ai.deploy.great_ai.GreatAI.create">@GreatAI.create</a>. Feel free to use <a class="autorefs autorefs-internal" href="../../reference/#great_ai.use_model">@use_model</a> in other places of the codebase, it works equally well outside of GreatAI services. </p>
|
||||
</div>
|
||||
<h3 id="using-parameter">Using <code>parameter</code><a class="headerlink" href="#using-parameter" title="Permanent link">#</a></h3>
|
||||
<h3 id="using-parameter">Using <code>@parameter</code><a class="headerlink" href="#using-parameter" title="Permanent link">#</a></h3>
|
||||
<p>If you wish to turn of logging or specify custom validation for your parameters, you can use the <a class="autorefs autorefs-internal" href="../../reference/#great_ai.parameter">@parameter</a> decorator.</p>
|
||||
<div class="admonition note">
|
||||
<p class="admonition-title">Note</p>
|
||||
|
|
@ -785,13 +978,13 @@
|
|||
|
||||
|
||||
|
||||
<a href="../../reference/" class="md-footer__link md-footer__link--next" aria-label="Next: Reference" rel="next">
|
||||
<a href="../configure-service/" class="md-footer__link md-footer__link--next" aria-label="Next: How to configure GreatAI" rel="next">
|
||||
<div class="md-footer__title">
|
||||
<div class="md-ellipsis">
|
||||
<span class="md-footer__direction">
|
||||
Next
|
||||
</span>
|
||||
Reference
|
||||
How to configure GreatAI
|
||||
</div>
|
||||
</div>
|
||||
<div class="md-footer__button md-icon">
|
||||
|
|
|
|||
|
|
@ -0,0 +1,6 @@
|
|||
# How to handle training data
|
||||
|
||||
## Upload data
|
||||
|
||||
## Use feedback
|
||||
|
||||
894
how-to-guides/handle-training-data/index.html
Normal file
894
how-to-guides/handle-training-data/index.html
Normal file
|
|
@ -0,0 +1,894 @@
|
|||
|
||||
<!doctype html>
|
||||
<html lang="en" class="no-js">
|
||||
<head>
|
||||
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||||
|
||||
<meta name="description" content="GreatAI helps you easily transform your prototype AI code into production-ready software.">
|
||||
|
||||
|
||||
<meta name="author" content="András Schmelczer">
|
||||
|
||||
|
||||
<link rel="icon" href="../../media/favicon.ico">
|
||||
<meta name="generator" content="mkdocs-1.3.0, mkdocs-material-8.3.9">
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|
||||
|
||||
|
||||
<title>How to handle training data - GreatAI documentation</title>
|
||||
|
||||
|
||||
|
||||
<link rel="stylesheet" href="../../assets/stylesheets/main.1d29e8d0.min.css">
|
||||
|
||||
|
||||
<link rel="stylesheet" href="../../assets/stylesheets/palette.cbb835fc.min.css">
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback">
|
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<style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style>
|
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|
||||
|
||||
|
||||
<link rel="stylesheet" href="../../assets/_mkdocstrings.css">
|
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|
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<script>__md_scope=new URL("../..",location),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
</head>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<body dir="ltr" data-md-color-scheme="default" data-md-color-primary="light-blue" data-md-color-accent="">
|
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|
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<script>var palette=__md_get("__palette");if(palette&&"object"==typeof palette.color)for(var key of Object.keys(palette.color))document.body.setAttribute("data-md-color-"+key,palette.color[key])</script>
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<input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
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<label class="md-overlay" for="__drawer"></label>
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<div data-md-component="skip">
|
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|
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|
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<a href="#how-to-handle-training-data" class="md-skip">
|
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Skip to content
|
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</a>
|
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|
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</div>
|
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<div data-md-component="announce">
|
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|
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</div>
|
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|
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<header class="md-header" data-md-component="header">
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<label class="md-header__button md-icon" for="__drawer">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3V6m0 5h18v2H3v-2m0 5h18v2H3v-2Z"/></svg>
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</label>
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<div class="md-header__title" data-md-component="header-title">
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<div class="md-header__ellipsis">
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<div class="md-header__topic">
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<span class="md-ellipsis">
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GreatAI documentation
|
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|
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</div>
|
||||
<div class="md-header__topic" data-md-component="header-topic">
|
||||
<span class="md-ellipsis">
|
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|
||||
How to handle training data
|
||||
|
||||
</span>
|
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</div>
|
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</div>
|
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</div>
|
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|
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<form class="md-header__option" data-md-component="palette">
|
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|
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||||
<input class="md-option" data-md-color-media="(prefers-color-scheme: light)" data-md-color-scheme="default" data-md-color-primary="light-blue" data-md-color-accent="" aria-label="Switch to dark mode" type="radio" name="__palette" id="__palette_1">
|
||||
|
||||
<label class="md-header__button md-icon" title="Switch to dark mode" for="__palette_2" hidden>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7M9 21a1 1 0 0 0 1 1h4a1 1 0 0 0 1-1v-1H9v1Z"/></svg>
|
||||
</label>
|
||||
|
||||
|
||||
|
||||
|
||||
<input class="md-option" data-md-color-media="(prefers-color-scheme: dark)" data-md-color-scheme="slate" data-md-color-primary="light-blue" data-md-color-accent="" aria-label="Switch to light mode" type="radio" name="__palette" id="__palette_2">
|
||||
|
||||
<label class="md-header__button md-icon" title="Switch to light mode" for="__palette_1" hidden>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2a7 7 0 0 1 7 7c0 2.38-1.19 4.47-3 5.74V17a1 1 0 0 1-1 1H9a1 1 0 0 1-1-1v-2.26C6.19 13.47 5 11.38 5 9a7 7 0 0 1 7-7M9 21v-1h6v1a1 1 0 0 1-1 1h-4a1 1 0 0 1-1-1m3-17a5 5 0 0 0-5 5c0 2.05 1.23 3.81 3 4.58V16h4v-2.42c1.77-.77 3-2.53 3-4.58a5 5 0 0 0-5-5Z"/></svg>
|
||||
</label>
|
||||
|
||||
|
||||
</form>
|
||||
|
||||
|
||||
|
||||
<label class="md-header__button md-icon" for="__search">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
|
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</label>
|
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<div class="md-search" data-md-component="search" role="dialog">
|
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<label class="md-search__overlay" for="__search"></label>
|
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<div class="md-search__inner" role="search">
|
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<form class="md-search__form" name="search">
|
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<input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
|
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<label class="md-search__icon md-icon" for="__search">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg>
|
||||
</label>
|
||||
<nav class="md-search__options" aria-label="Search">
|
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|
||||
<button type="reset" class="md-search__icon md-icon" aria-label="Clear" tabindex="-1">
|
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41 17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41Z"/></svg>
|
||||
</button>
|
||||
</nav>
|
||||
|
||||
</form>
|
||||
<div class="md-search__output">
|
||||
<div class="md-search__scrollwrap" data-md-scrollfix>
|
||||
<div class="md-search-result" data-md-component="search-result">
|
||||
<div class="md-search-result__meta">
|
||||
Initializing search
|
||||
</div>
|
||||
<ol class="md-search-result__list"></ol>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
<div class="md-header__source">
|
||||
<a href="https://github.com/schmelczer/great-ai" title="Go to repository" class="md-source" data-md-component="source">
|
||||
<div class="md-source__icon md-icon">
|
||||
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M439.55 236.05 244 40.45a28.87 28.87 0 0 0-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 0 1-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 0 0 0 40.81l195.61 195.6a28.86 28.86 0 0 0 40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81z"/></svg>
|
||||
</div>
|
||||
<div class="md-source__repository">
|
||||
schmelczer/great-ai
|
||||
</div>
|
||||
</a>
|
||||
</div>
|
||||
|
||||
</nav>
|
||||
|
||||
</header>
|
||||
|
||||
<div class="md-container" data-md-component="container">
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<main class="md-main" data-md-component="main">
|
||||
<div class="md-main__inner md-grid">
|
||||
|
||||
|
||||
|
||||
<div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" >
|
||||
<div class="md-sidebar__scrollwrap">
|
||||
<div class="md-sidebar__inner">
|
||||
|
||||
|
||||
|
||||
<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
|
||||
<label class="md-nav__title" for="__drawer">
|
||||
<a href="../.." title="GreatAI documentation" class="md-nav__button md-logo" aria-label="GreatAI documentation" data-md-component="logo">
|
||||
|
||||
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54Z"/></svg>
|
||||
|
||||
</a>
|
||||
GreatAI documentation
|
||||
</label>
|
||||
|
||||
<div class="md-nav__source">
|
||||
<a href="https://github.com/schmelczer/great-ai" title="Go to repository" class="md-source" data-md-component="source">
|
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<div class="md-source__icon md-icon">
|
||||
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M439.55 236.05 244 40.45a28.87 28.87 0 0 0-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 0 1-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 0 0 0 40.81l195.61 195.6a28.86 28.86 0 0 0 40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81z"/></svg>
|
||||
</div>
|
||||
<div class="md-source__repository">
|
||||
schmelczer/great-ai
|
||||
</div>
|
||||
</a>
|
||||
</div>
|
||||
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
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|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../.." class="md-nav__link">
|
||||
Overview
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
||||
|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2" type="checkbox" id="__nav_2" >
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link" for="__nav_2">
|
||||
Tutorial
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Tutorial" data-md-level="1">
|
||||
<label class="md-nav__title" for="__nav_2">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Tutorial
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../tutorial/" class="md-nav__link">
|
||||
Tutorial overview
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../tutorial/train/" class="md-nav__link">
|
||||
Train your model
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../tutorial/deploy/" class="md-nav__link">
|
||||
Harden and deploy your app
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--active md-nav__item--nested">
|
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|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_3" type="checkbox" id="__nav_3" checked>
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link" for="__nav_3">
|
||||
User Guides
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="User Guides" data-md-level="1">
|
||||
<label class="md-nav__title" for="__nav_3">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
User Guides
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../create-service/" class="md-nav__link">
|
||||
How to create a GreatAI service
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../configure-service/" class="md-nav__link">
|
||||
How to configure GreatAI
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../use-service/" class="md-nav__link">
|
||||
How to use a GreatAI service
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--active">
|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="toc" type="checkbox" id="__toc">
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link md-nav__link--active" for="__toc">
|
||||
How to handle training data
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<a href="./" class="md-nav__link md-nav__link--active">
|
||||
How to handle training data
|
||||
</a>
|
||||
|
||||
|
||||
|
||||
<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__title" for="__toc">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Table of contents
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#upload-data" class="md-nav__link">
|
||||
Upload data
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#use-feedback" class="md-nav__link">
|
||||
Use feedback
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../large_file/" class="md-nav__link">
|
||||
How to use LargeFile
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../call_remote.md" class="md-nav__link">
|
||||
None
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../scraping/" class="md-nav__link">
|
||||
Scraping
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
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|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_4" type="checkbox" id="__nav_4" >
|
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|
||||
|
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|
||||
|
||||
<label class="md-nav__link" for="__nav_4">
|
||||
Reference
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Reference" data-md-level="1">
|
||||
<label class="md-nav__title" for="__nav_4">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Reference
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/" class="md-nav__link">
|
||||
GreatAI reference
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/utilities/" class="md-nav__link">
|
||||
Utilities
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/large-file/" class="md-nav__link">
|
||||
LargeFile
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/views/" class="md-nav__link">
|
||||
View models
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
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|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5" type="checkbox" id="__nav_5" >
|
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|
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|
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|
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|
||||
<label class="md-nav__link" for="__nav_5">
|
||||
Examples
|
||||
<span class="md-nav__icon md-icon"></span>
|
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</label>
|
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|
||||
<nav class="md-nav" aria-label="Examples" data-md-level="1">
|
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<label class="md-nav__title" for="__nav_5">
|
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<span class="md-nav__icon md-icon"></span>
|
||||
Examples
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
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1136
how-to-guides/large_file/index.html
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118
how-to-guides/large_file/large_file.md
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how-to-guides/large_file/large_file.md
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|
|
@ -0,0 +1,118 @@
|
|||
# How to use LargeFile
|
||||
|
||||
Storing, versioning, and downloading files from S3 made as easy as using `open()` in Python. Caching included.
|
||||
|
||||
## Motivation
|
||||
|
||||
Oftentimes, especially when working with data-heavy applications, large files can proliferate in a repository. Version controlling them is an obvious next step, however, GitHub's git LFS implementation [doesn't support the deletion](https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository) of large files, making it easy for them to eat-up the LFS quota and explode the size of your repos.
|
||||
|
||||
## Solution
|
||||
|
||||
```
|
||||
pip install open-large
|
||||
```
|
||||
|
||||
### Simple example
|
||||
|
||||
```python
|
||||
from great_ai.large_file import LargeFileS3
|
||||
|
||||
LargeFileS3.configure_credentials({
|
||||
"aws_region_name": "your_region_like_eu-west-2",
|
||||
"aws_access_key_id": "YOUR_ACCESS_KEY_ID",
|
||||
"aws_secret_access_key": "YOUR_VERY_SECRET_ACCESS_KEY",
|
||||
"large_files_bucket_name": "create_a_bucket_and_put_its_name_here",
|
||||
})
|
||||
|
||||
# Creates a new version and deletes the older version leaving the 3 most recently used intact
|
||||
with LargeFileS3("test.txt", "w", keep_last_n=3) as f:
|
||||
for i in range(100000):
|
||||
f.write('test\n')
|
||||
|
||||
# By default the latest version is returned
|
||||
# but an optional `version` keyword argument can be provided as well
|
||||
with LargeFileS3("test.txt", "r") as f:
|
||||
print(f.readlines()[0])
|
||||
```
|
||||
|
||||
> Automatically creates a file, writes to it, uploads it to S3, and then queries the most recent version of it.
|
||||
> In this case, the latest version is already in the local cache, no download is required.
|
||||
|
||||
### More details
|
||||
|
||||
`LargeFile` behaves like an opened file (in the background it is a temp file after all). Binary reading and writing is supported along with the [different keywords](https://docs.python.org/3/library/functions.html#open) `open()` accepts.
|
||||
|
||||
The local cache can be configured with these properties:
|
||||
|
||||
```python
|
||||
LargeFile.cache_path = Path('.cache')
|
||||
LargeFile.max_cache_size = "30 GB"
|
||||
```
|
||||
|
||||
#### I only need a path
|
||||
|
||||
In case you only need a path to the "remote" file, this pattern can be applied:
|
||||
|
||||
```python
|
||||
path_to_model = LargeFile("folder-of-my-bert-model", version=31).get()
|
||||
```
|
||||
|
||||
> This will first download the file/folder into your local cache folder. Then, it returns a `Path` object to the local version. Which can be turned into a string with `str(path_to_model)`.
|
||||
|
||||
The same approach works for uploads:
|
||||
|
||||
```python
|
||||
LargeFile("folder-of-my-bert-model").push('path_to_local/folder_or_file')
|
||||
```
|
||||
|
||||
> This way, both regular files and folders can be handled. The uploaded file is called **folder-of-my-bert-model**, the local name is ignored.
|
||||
|
||||
Lastly, all version of the remote object can be deleted by calling `LargeFile("my-file").delete()`. It will still reside in your local cache afterwards, its deletion will happen next time your local cache has to be pruned.
|
||||
|
||||
### Command-line example
|
||||
|
||||
The package can be used as a module from the command-line to give you more flexibility.
|
||||
|
||||
#### Setup
|
||||
|
||||
Create an .ini file (or use _~/.aws/credentials_). It may look like this:
|
||||
|
||||
```ini
|
||||
aws_region_name = your_region_like_eu-west-2
|
||||
aws_access_key_id = YOUR_ACCESS_KEY_ID
|
||||
aws_secret_access_key = YOUR_VERY_SECRET_ACCESS_KEY
|
||||
large_files_bucket_name = my_large_files
|
||||
endpoint_url = this is optional, for backblaze, use this: https://s3.us-west-002.backblazeb2.com
|
||||
```
|
||||
|
||||
> Just like in [example secrets](example_secrets.ini).
|
||||
|
||||
#### Print the expected options
|
||||
|
||||
```sh
|
||||
python3 -m large_file --help
|
||||
```
|
||||
|
||||
#### Upload some files
|
||||
|
||||
```sh
|
||||
python3 -m large_file --backend s3 --secrets secrets.ini --push my_first_file.json folder/my_second_file my_folder
|
||||
```
|
||||
|
||||
> Only the filename is used as the S3 name, the rest of the path is ignored.
|
||||
|
||||
#### Download some files to the local cache
|
||||
|
||||
This can be useful when building a Docker image for example. This way, the files can already reside inside the container and need not be downloaded later.
|
||||
|
||||
```sh
|
||||
python3 -m large_file --backend s3 -secrets ~/.aws/credentials --cache my_first_file.json:3 my_second_file my_folder:0
|
||||
```
|
||||
|
||||
> Versions may be specified by using `:`-s.
|
||||
|
||||
#### Delete remote files
|
||||
|
||||
```sh
|
||||
python3 -m large_file --backend s3 --secrets ~/.aws/credentials --delete my_first_file.json
|
||||
```
|
||||
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