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MutagenLou2023

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Maom Lab 5

I have noticed that the classification(0/1) only appears in the train dataset but not in the test dataset, which is causing issues with the training process:

model = load_model_from_dict({
"name": "cat_boost_classifier",
"config": {
"x_features": ['smiles::morgan', 'smiles::maccs_rdkit'],
"y_features": ['endpoint']}})

model.train(split_featurised_dataset["ames_train"])

preds = model.predict(split_featurised_dataset["ames_test"])