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ensure predict_proba follows suit. Remove all lib specific params from example config
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@ -80,7 +80,6 @@
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"random_state": 1
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"random_state": 1
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},
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},
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"model_training_parameters": {
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"model_training_parameters": {
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"n_estimators": 1000
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}
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}
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},
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},
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"bot_name": "",
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"bot_name": "",
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@ -101,6 +101,8 @@ class BaseClassifierModel(IFreqaiModel):
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pred_df = DataFrame(predictions, columns=dk.label_list)
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pred_df = DataFrame(predictions, columns=dk.label_list)
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predictions_prob = self.model.predict_proba(dk.data_dictionary["prediction_features"])
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predictions_prob = self.model.predict_proba(dk.data_dictionary["prediction_features"])
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if self.CONV_WIDTH == 1:
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predictions_prob = np.reshape(predictions_prob, (-1, len(self.model.classes_)))
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pred_df_prob = DataFrame(predictions_prob, columns=self.model.classes_)
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pred_df_prob = DataFrame(predictions_prob, columns=self.model.classes_)
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pred_df = pd.concat([pred_df, pred_df_prob], axis=1)
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pred_df = pd.concat([pred_df, pred_df_prob], axis=1)
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