docs: image classification tutorial #491
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mikeldking
approved these changes
Mar 31, 2023
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "train_df = pd.read_parquet(\"https://storage.googleapis.com/arize-assets/fixtures/Embeddings/arize-demo-models-data/CV/human_actions_quality_drift_training.parquet\")\n", |
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Call df.head to explain the columns
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| " prediction_label_column_name=\"pred_label\",\n", | ||
| " actual_label_column_name=\"label\",\n", |
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since these columns are not self-sescriptive, I'd explain them
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "You can now label your exported data and fine-tune your model to improve performance on blurry and noisy images.\n", |
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Best to use wording that explains the value of the action - what is it buying the user? How is it making their job easier? Why should they care?
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