def get_csv_file_path(num_random_states,
dataset_index,
n_clusters,
file_name=None):
file_name = get_csv_file_name(
num_random_states, n_clusters) if file_name == None else file_name
return GlobalFunctions.get_plot_file_path(
file_name, dataset_index,
GlobalParameters.STATISTICAL_TEST_FOLDER_NAME)
def get_external_fittment_file_path(dataset_index, file_name):
file_path = GlobalFunctions.get_plot_file_path(
file_name, dataset_index,
GlobalParameters.EXTERNAL_LABELS_FITTMENT_RESULTS_FOLDER)
return file_path
def get_csv_file_path(num_random_states,
dataset_index,
n_clusters,
file_name=None):
return GlobalFunctions.get_plot_file_path(file_name, dataset_index,
"AnomalyDetecion")
def get_csv_file_path(num_random_states, dataset_index):
file_name = get_csv_file_name(num_random_states)
return GlobalFunctions.get_plot_file_path(
file_name, dataset_index,
GlobalParameters.STATISTICAL_TEST_FOLDER_NAME)
def get_plot_file_path(self, random_state, dataset_index):
self.get_plot_file_name(random_state)
return GlobalFunctions.get_plot_file_path(
self.file_name, dataset_index,
GlobalParameters.CLUSTERING_PLOT_FOLDER_NAME)
