def test_report(): df = load_abalone() # report_df = sd.report_kde(df, model_type="sklearn", n_sample=50, type_settings={"rings":"o"}) # print report_df centers, is_converged = sd.report_gmm(df, n_components=5) print centers print is_converged centers, outliers = sd.report_meanshift(df) print centers print outliers
def test_GMM(): df = gen_test_df(n_features=3) centers, is_converged = sd.report_gmm(df, n_components=5) print centers print is_converged