Use loadData to store custom data in X_train_reference.
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def loadData(self, feature_string, label_string, label_dict, dtype=None): |
Use
X_train_reference to train model.
Transform / Predict as normally.
Maybe allow export of trained model, which would be the fitted model stored in
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if os.path.isfile(modelName): |
