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
