def test_ClusterAnalysis(): df = gen_test_df(n_features=3) model = MeanShift(df) centers = model.get_centers() outliers = model.get_outliers() print centers print outliers
def test_KDE(): df = gen_test_df(n_features=3) model = KDE(df) report_df = model.sampling_pdf(n_sample=20) print report_df model = KDE(df, model_type="sklearn") report_df = model.sampling_pdf(n_sample=20) print report_df
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