bugfix pca for test features when test split is null
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@ -440,7 +440,6 @@ class FreqaiDataKitchen:
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logger.info("reduced feature dimension by %s", n_components - n_keep_components)
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logger.info("explained variance %f", np.sum(pca2.explained_variance_ratio_))
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train_components = pca2.transform(self.data_dictionary["train_features"])
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test_components = pca2.transform(self.data_dictionary["test_features"])
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self.data_dictionary["train_features"] = pd.DataFrame(
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data=train_components,
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@ -454,6 +453,7 @@ class FreqaiDataKitchen:
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self.training_features_list = self.data_dictionary["train_features"].columns
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if self.freqai_config.get('data_split_parameters', {}).get('test_size', 0.1) != 0:
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test_components = pca2.transform(self.data_dictionary["test_features"])
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self.data_dictionary["test_features"] = pd.DataFrame(
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data=test_components,
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columns=["PC" + str(i) for i in range(0, n_keep_components)],
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