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
