Update app.py
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app.py
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@@ -76,12 +76,12 @@ with gr.Blocks(title=title) as demo:
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gr.Markdown(f"# {title}")
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gr.Markdown(
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"""
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on a synthetic dataset. The transformations are then used to train a linear model on the \
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transformed data. The plot shows the ROC curve of the different models trained on the \
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transformed data. The plot is interactive and you can zoom in and out.
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[
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"""
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)
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gr.Markdown(f"# {title}")
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gr.Markdown(
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"""
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This example shows how one can apply features transformations using ensembles of trees \
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on a synthetic dataset. The transformations are then used to train a linear model on the \
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transformed data. The plot shows the ROC curve of the different models trained on the \
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transformed data. The plot is interactive and you can zoom in and out.
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See original example [here](https://scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html#sphx-glr-auto-examples-ensemble-plot-feature-transformation-py).
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"""
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)
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