Datasets:
Tasks:
Tabular Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
haneulpark
commited on
Update README.md
Browse files
README.md
CHANGED
@@ -184,7 +184,7 @@ then load, featurize, split, fit, and evaluate the a catboost model
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model = load_model_from_dict({
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"name": "cat_boost_classifier",
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"config": {
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-
"x_features": ['
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"y_features": ['Class'],
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}})
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model = load_model_from_dict({
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"name": "cat_boost_classifier",
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"config": {
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+
"x_features": ['Smiles::morgan', 'Smiles::maccs_rdkit'],
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"y_features": ['Class'],
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}})
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