fix typos - live predictions candles
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@@ -51,7 +51,7 @@ class BaseClassifierModel(IFreqaiModel):
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f"{end_date} --------------------")
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# split data into train/test data.
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data_dictionary = dk.make_train_test_datasets(features_filtered, labels_filtered)
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if not self.freqai_info.get("fit_live_predictions", 0) or not self.live:
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if not self.freqai_info.get("fit_live_predictions_candles", 0) or not self.live:
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dk.fit_labels()
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# normalize all data based on train_dataset only
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data_dictionary = dk.normalize_data(data_dictionary)
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@@ -50,7 +50,7 @@ class BaseRegressionModel(IFreqaiModel):
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f"{end_date} --------------------")
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# split data into train/test data.
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data_dictionary = dk.make_train_test_datasets(features_filtered, labels_filtered)
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if not self.freqai_info.get("fit_live_predictions", 0) or not self.live:
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if not self.freqai_info.get("fit_live_predictions_candles", 0) or not self.live:
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dk.fit_labels()
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# normalize all data based on train_dataset only
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data_dictionary = dk.normalize_data(data_dictionary)
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@@ -47,7 +47,7 @@ class BaseTensorFlowModel(IFreqaiModel):
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f"{end_date} --------------------")
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# split data into train/test data.
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data_dictionary = dk.make_train_test_datasets(features_filtered, labels_filtered)
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if not self.freqai_info.get("fit_live_predictions", 0) or not self.live:
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if not self.freqai_info.get("fit_live_predictions_candles", 0) or not self.live:
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dk.fit_labels()
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# normalize all data based on train_dataset only
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data_dictionary = dk.normalize_data(data_dictionary)
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