def run_analysis(features_file, kpis_file, metadata_file):
"""
Load kpis and features from file and pass them to expan to perform delta and subgroup analyses
Args:
features_file: features file path
kpis_file: kpis file path
metadata_file: metadata file path
Returns:
delta analysis results and subgroup analysis results as a tuple
"""
kpis = pd.read_csv(kpis_file)
if features_file:
features = pd.read_csv(features_file)
else:
features = 'default'
print(features)
metadata = parse_metadata(metadata_file)
exp_data = ExperimentData(metrics=kpis,
metadata=metadata,
features=features)
exp = Experiment(baseline_variant=metadata['baseline_variant'],
metrics_or_kpis=kpis,
metadata=metadata,
features=features)
return (exp.delta(), exp.sga())
def run_analysis(features_file, kpis_file, metadata_file):
kpis = pd.read_csv(kpis_file)
if features_file:
features = pd.read_csv(features_file)
else:
features = 'default'
print(features)
metadata = parse_metadata(metadata_file)
exp_data = ExperimentData(metrics=kpis,
metadata=metadata,
features=features)
exp = Experiment(baseline_variant=metadata['baseline_variant'],
metrics_or_kpis=kpis,
metadata=metadata,
features=features)
return (exp.delta(), exp.sga())