Metadata-Version: 2.1
Name: dazer
Version: 0.1.14
Summary: DAtaset siZe Effect estimatoR
Home-page: http://pypi.python.org/pypi/dazer/
Author: Maiykol
Author-email: michael.hartung@uni-hamburg.de
License: LICENSE
Description: # DAZER (DAtaset siZe Effect estimatoR)
        
        ## Class Subsampler with examples
        
        ```python
        import dazer
        
        subsampler = dazer.Subsampler(df, dataset.keep_ratio, .2)
        
        df_test = subsampler.extract_test()
        
        df_test = subsampler.extract_test(subsample_factor=.2, random_state=101)
        
        df_train_1 = subsampler.subsample(subsample_factor=.1, random_state=101)
        df_train_2 = subsampler.subsample(subsample_factor=.2, random_state=101)
        df_train_3 = subsampler.subsample(subsample_factor=.3, random_state=101)
        ```
        
        ## Class Classifier with examples
        
        ```python
        import dazer
        
        y_test = df_test[target_column] == target_value
        X_test = df_test.drop([target_column], axis=1)
        
        y_train = df_train_1[target_column] == target_value
        X_train = df_train_1.drop([target_column], axis=1)
        
        classifier = dazer.Classifier(X_train, y_train, X_test, y_test)
        model, evaluation = classifier.train_test_random_forest(random_state=101, model_path='models/model_1.joblib', scoring='f1')
        ```
        
        ## Run unittests
        
        `python3 -m unittest discover tests`
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/markdown
