QuickStart
After installation, users can quickly run a small example in Python:
1. Load example data and model
import pandas as pd import spare_scores as spare import spare_scores.data_prep as data_prep df = data_prep.load_examples('example_data.csv') mdl, meta_data = data_prep.load_examples(f'mdl_SPARE_BA_hMUSE_single.pkl.gz')
2. Test the model on the example data
df['SPARE_BA'] = spare.spare_test(df, (mdl, meta_data))
3. Train another regression model
predictors = df.columns[df.columns.str.startswith('H_MUSE')][:20] mdl_1, meta_data_1 = spare.spare_train(df, 'Age', data_vars=predictors) mdl_2, meta_data_1 = spare.spare_train(df, 'Sex', data_vars=predictors, pos_group='M')