Convert Records to Scaler Train and Test Datasets¶
Helper method for converting records into a scaler datasets that are split using sklearn.model_selection.train_test_split
. This means all training and tests data is bounded between a range like: [-1, 1]
.
-
antinex_utils.build_scaler_train_and_test_datasets.
build_scaler_train_and_test_datasets
(label, train_features, test_feature, df, test_size, seed, scaler_cast_to_type='float32', min_feature_range=-1, max_feature_range=1)[source]¶ Parameters: - label – log label
- train_features – features to train
- test_feature – target feature name
- df – dataframe to build scalers and test and train datasets
- test_size – percent of test to train rows
- min_feature_range – min scaler range
- max_feature_range – max scaler range