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Use the supported sparse matrix conversion in the deployment example

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Andras Schmelczer 2026-10-27 20:05:45 +00:00
commit 0b676ddc7c
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docs/examples/simple/deploy.ipynb
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@ -108,7 +108,7 @@
" for weight, word, count in zip(\n", " for weight, word, count in zip(\n",
" model.named_steps[\"classifier\"].feature_log_prob_[class_index],\n", " model.named_steps[\"classifier\"].feature_log_prob_[class_index],\n",
" model.named_steps[\"vectorizer\"].get_feature_names_out(),\n", " model.named_steps[\"vectorizer\"].get_feature_names_out(),\n",
" features.A[0],\n", " features.toarray()[0],\n",
" )\n", " )\n",
" if count > 0\n", " if count > 0\n",
" ),\n", " ),\n",