def dev__GmmAnalysis__do_aic_analysis():
gmm = GmmAnalysis(configuration=o_config,
data=o_data,
names=o_config.normalized_error_names,
output_path=output_path,
max_components=max_components)
gmm.make_gmm_models()
gmm.do_aic_analysis()
for k in gmm.models:
print(gmm.models[k])
def test__GmmAnalysis__do_aic_analysis():
gmm = GmmAnalysis(configuration=o_config,
data=o_data,
names=o_config.normalized_error_names,
output_path=output_path,
max_components=max_components)
gmm.make_gmm_models()
gmm.do_aic_analysis()
for k in gmm.models:
assert isinstance(gmm.models[k]['aic'], float)
assert isinstance(gmm.aic_criteria, dict)
assert isinstance(gmm.aic_criteria['min_components'], int)
assert isinstance(gmm.aic_criteria['min_value'], float)
def dev__GmmAnalysis():
max_components = 20
n_components = 10
gmm = GmmAnalysis(configuration=o_config,
data=o_data,
names='all',
output_path=output_path,
max_components=max_components)
print(gmm.names)
gmm.make_gmm_models()
gmm.do_aic_analysis()
gmm.do_bic_analysis()
gmm.do_ic_analysis()
gmm.do_cluster_analysis(n_components=n_components)
# table__cluster_info(gmm)
# table__cluster_parameters(gmm)
# table__cluster_qois(gmm)
plot__cluster_qoi(gmm)
gmm.plot_gmm_analysis(n_components=20)