add exception for not passing timerange. Remove hard coded arguments for CatboostPredictionModels. Update docs
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@@ -38,8 +38,6 @@ class CatboostPredictionModel(BaseRegressionModel):
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model = CatBoostRegressor(
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allow_writing_files=False,
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verbose=100,
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early_stopping_rounds=400,
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**self.model_training_parameters,
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)
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model.fit(X=train_data, eval_set=test_data)
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@@ -27,9 +27,6 @@ class CatboostPredictionMultiModel(BaseRegressionModel):
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cbr = CatBoostRegressor(
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allow_writing_files=False,
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gpu_ram_part=0.5,
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verbose=100,
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early_stopping_rounds=400,
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**self.model_training_parameters,
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)
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