Metadata-Version: 2.1
Name: ingotdr
Version: 0.0.1
Summary: INGOT-DR (INterpretable GrOup Testing for Drug Resistance)
Home-page: https://github.com/hoomanzabeti/ingotdr
Author: Hooman Zabeti
Author-email: hzabeti@sfu.ca
License: UNKNOWN
Description: # INGOT-DR
        
        **INGOT-DR** ( **IN**terpretable **G**r**O**up **T**esting for **D**rug **R**esistance) is an interpretable rule-based predictive model base on **Group Testing** and **Boolean Compressed Sesing**.
        
        ## Installation
        
        ## Train and evaluate an INGOT-DR classifier
        ```python
        from sklearn.model_selection import train_test_split
        from sklearn.metrics import balanced_accuracy_score
        import pandas as pd
        import ingot
        
        X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=33, test_size=0.2, stratify=y)
        
        clf = ingot.INGOTClassifier()
        clf.fit(X_train,y_train)
        
        y_pred = clf.predict(X_test)
        
        print("Balanced accuracy: {}".format(balanced_accuracy_score(y_test, y_pred)))
        
        
        ```
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
