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Remove "activate" activator

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they raise warnings as they're unused.
This commit is contained in:
Matthias 2023-12-06 19:48:19 +01:00
parent 3b4b833dd0
commit 71178ff1d2
2 changed files with 2 additions and 2 deletions
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2
freqtrade/freqai/prediction_models/XGBoostRFRegressor.py
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@ -45,7 +45,7 @@ class XGBoostRFRegressor(BaseRegressionModel):
model = XGBRFRegressor(**self.model_training_parameters) model = XGBRFRegressor(**self.model_training_parameters)
model.set_params(callbacks=[TBCallback(dk.data_path)], activate=self.activate_tensorboard) model.set_params(callbacks=[TBCallback(dk.data_path)])
model.fit(X=X, y=y, sample_weight=sample_weight, eval_set=eval_set, model.fit(X=X, y=y, sample_weight=sample_weight, eval_set=eval_set,
sample_weight_eval_set=eval_weights, xgb_model=xgb_model) sample_weight_eval_set=eval_weights, xgb_model=xgb_model)
# set the callbacks to empty so that we can serialize to disk later # set the callbacks to empty so that we can serialize to disk later

2
freqtrade/freqai/prediction_models/XGBoostRegressor.py
View File

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