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give beta testers more information in the doc

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This commit is contained in:
robcaulk
2022-05-15 14:01:53 +02:00
parent a7029e35b5
commit a8022c104a
3 changed files with 19 additions and 4 deletions
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2
freqtrade/freqai/data_kitchen.py
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@@ -113,8 +113,6 @@ class FreqaiDataKitchen:
with open(self.model_path / str(self.model_filename + "_metadata.json"), "r") as fp:
self.data = json.load(fp)
self.training_features_list = self.data["training_features_list"]
# if self.data.get("training_features_list"):
# self.training_features_list = [*self.data.get("training_features_list")]
self.data_dictionary["train_features"] = pd.read_pickle(
self.model_path / str(self.model_filename + "_trained_df.pkl")

4
freqtrade/templates/ExamplePredictionModel.py
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@@ -42,8 +42,8 @@ class ExamplePredictionModel(IFreqaiModel):
def train(self, unfiltered_dataframe: DataFrame, metadata: dict) -> Tuple[DataFrame, DataFrame]:
"""
Filter the training data and train a model to it. Train makes heavy use of the datahandler
for storing, saving, loading, and managed.
Filter the training data and train a model to it. Train makes heavy use of the datahkitchen
for storing, saving, loading, and analyzing the data.
:params:
:unfiltered_dataframe: Full dataframe for the current training period
:metadata: pair metadata from strategy.