Make documentation links usable from repository previews
This commit is contained in:
parent
34368bbe50
commit
e446d95855
1 changed files with 39 additions and 39 deletions
|
|
@ -4,8 +4,8 @@ Let's see `great-ai` in action by going over the lifecycle of a simple service.
|
|||
|
||||
## Objectives
|
||||
|
||||
1. You will see how the [great_ai.utilities](/reference/utilities) can integrate into your Data Science workflow.
|
||||
2. You will use [great_ai.large_file](/reference/large-file) to version and store your trained model.
|
||||
1. You will see how the [great_ai.utilities](https://great-ai.scoutinscience.com/reference/utilities) can integrate into your Data Science workflow.
|
||||
2. You will use [great_ai.large_file](https://great-ai.scoutinscience.com/reference/large-file) to version and store your trained model.
|
||||
3. You will use [GreatAI][great_ai.GreatAI] to add tracing and API scaffolding to your inference function, then review the remaining deployment requirements.
|
||||
|
||||
## Overview
|
||||
|
|
@ -52,7 +52,7 @@ After training and evaluating a model, it is exported using [great_ai.save_model
|
|||
save_model(model, key='my-domain-predictor')
|
||||
```
|
||||
|
||||
For more info, check out [the configuration how-to page](/how-to-guides/configure-service).
|
||||
For more info, check out [the configuration how-to page](https://great-ai.scoutinscience.com/how-to-guides/configure-service).
|
||||
|
||||
### [Deployment notebook](deploy.ipynb)
|
||||
|
||||
|
|
@ -72,10 +72,10 @@ def predict_domain(sentence, model):
|
|||
1. [@use_model][great_ai.use_model] loads and injects your model into the `predict_domain` function's `model` argument.
|
||||
You can freely reference it, knowing that the function is always provided with it.
|
||||
|
||||
Finally, we test the model's inference function through the GreatAI dashboard. Before production, configure a suitable tracing database and storage, evaluate the model for its intended use, review the remaining best practices, and [deploy the service](/how-to-guides/use-service).
|
||||
Finally, we test the model's inference function through the GreatAI dashboard. Before production, configure a suitable tracing database and storage, evaluate the model for its intended use, review the remaining best practices, and [deploy the service](https://great-ai.scoutinscience.com/how-to-guides/use-service).
|
||||
|
||||
<div style="display: flex; justify-content: space-evenly;" markdown>
|
||||
[:material-book: Learn about all the features](/how-to-guides/create-service){ .md-button .md-button--primary }
|
||||
[:material-book: Learn about all the features](https://great-ai.scoutinscience.com/how-to-guides/create-service){ .md-button .md-button--primary }
|
||||
|
||||
[:material-test-tube: Look at more examples](/examples/simple/data){ .md-button .md-button--secondary }
|
||||
[:material-test-tube: Look at more examples](https://great-ai.scoutinscience.com/examples/simple/data){ .md-button .md-button--secondary }
|
||||
</div>
|
||||
|
|
|
|||
Loading…
Reference in a new issue