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Remove "activate" activator
they raise warnings as they're unused.
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@ -45,7 +45,7 @@ class XGBoostRFRegressor(BaseRegressionModel):
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model = XGBRFRegressor(**self.model_training_parameters)
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model.set_params(callbacks=[TBCallback(dk.data_path)], activate=self.activate_tensorboard)
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model.set_params(callbacks=[TBCallback(dk.data_path)])
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model.fit(X=X, y=y, sample_weight=sample_weight, eval_set=eval_set,
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sample_weight_eval_set=eval_weights, xgb_model=xgb_model)
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# set the callbacks to empty so that we can serialize to disk later
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@ -45,7 +45,7 @@ class XGBoostRegressor(BaseRegressionModel):
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model = XGBRegressor(**self.model_training_parameters)
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model.set_params(callbacks=[TBCallback(dk.data_path)], activate=self.activate_tensorboard)
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model.set_params(callbacks=[TBCallback(dk.data_path)])
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model.fit(X=X, y=y, sample_weight=sample_weight, eval_set=eval_set,
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sample_weight_eval_set=eval_weights, xgb_model=xgb_model)
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# set the callbacks to empty so that we can serialize to disk later
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