Update template_gradio_interface.py
Browse files
template_gradio_interface.py
CHANGED
@@ -58,8 +58,8 @@ def call_predict(inference_dict, cols_order):
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shap.summary_plot(shap_values[0], df_preprocessed, show=False, feature_names=df_preprocessed.columns, plot_size=(15, 15))
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plt.subplot(1,2,2)
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shap.summary_plot(shap_values[1], df_preprocessed, show=False, feature_names=df_preprocessed.columns, plot_size=(15, 15))
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plt.subplot(1,2,3)
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shap.summary_plot(shap_values[2], df_preprocessed, show=False, feature_names=df_preprocessed.columns, plot_size=(15, 15))
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plt.tight_layout()
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plt.subplots_adjust(wspace=2.0)
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fig = plt.gcf()
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@@ -67,6 +67,7 @@ def call_predict(inference_dict, cols_order):
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print("mmmmmmmmmmmmmmmmmmmmm")
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print(y_pred_rescaled.shape)
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return y_pred_rescaled[0][0], 10, y_pred_rescaled[0][1], 10, y_pred_rescaled[0][2], 10, fig
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return lambda *x: predict_from_list(x)
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shap.summary_plot(shap_values[0], df_preprocessed, show=False, feature_names=df_preprocessed.columns, plot_size=(15, 15))
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plt.subplot(1,2,2)
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shap.summary_plot(shap_values[1], df_preprocessed, show=False, feature_names=df_preprocessed.columns, plot_size=(15, 15))
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+
# plt.subplot(1,2,3)
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# shap.summary_plot(shap_values[2], df_preprocessed, show=False, feature_names=df_preprocessed.columns, plot_size=(15, 15))
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plt.tight_layout()
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plt.subplots_adjust(wspace=2.0)
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fig = plt.gcf()
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print("mmmmmmmmmmmmmmmmmmmmm")
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print(y_pred_rescaled.shape)
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return y_pred_rescaled[0][0], 10, y_pred_rescaled[0][1], 10, y_pred_rescaled[0][2], 10, fig
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return y_pred_rescaled[0][0], 10, y_pred_rescaled[0][1], 10, fig
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return lambda *x: predict_from_list(x)
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