def plot_type(plot_type, out_file_path, base_path_list, data_object_path): model_path = '{}/GP_model.npy'.format(base_path_list) name_index_list = '{}/name_index.npy'.format(base_path_list) import os.path if not os.path.isfile(model_path): return data_object = data_object_path # model = Utility.load_obj(model_path) # data = model.X.mean # means = np.array(data) GP_LVM_Scatter.plot_scatter( Utility.load_obj(model_path), Utility.load_obj(data_object), out_file_path, name_index_list=Utility.load_obj(name_index_list), label_type=plot_type, no_short_duration=True, perform_unsupervised=False, non_unlabelled_stress=False, get_only_gpr_data=False, get_only_manual_data=True, return_after_dbscan=False) # sys.exit() pass
def run_plot_and_latex(): # output_name = '02_delta_delta-delta' # output_name = '03_delta' # output_name = '04_no_delta' system_names = [ '02_delta_delta-delta', '03_delta', '04_no_delta', '05_missing_data_no_delta', '06_02_with_3-dimentionality' ] for output_name in system_names: base_path = '/home/h1/decha/Dropbox/Inter_speech_2016/Syllable_object/{}/BGP_LVM/'.format( output_name) object_path = '/home/h1/decha/Dropbox/Inter_speech_2016/Syllable_object/01_manual_labeling_object/' for tone in ['0', '1', '2', '3', '4', '01234']: model_path = '{}/Tone_{}/GP_model.npy'.format(base_path, tone) data_object = '{}/syllable_{}.pickle'.format(object_path, tone) if tone == '01234': data_object = '{}/syllable_all.pickle'.format(object_path) outpath = '{}/Tone_{}/stress_unstress_plot.eps'.format( base_path, tone) GP_LVM_Scatter.plot_scatter(Utility.load_obj(model_path), Utility.load_obj(data_object), outpath) pass
def plot_type(plot_type, out_file_path, base_path_list, data_object_path, perform_unsupervised): model_path = '{}/GP_model.npy'.format(base_path_list) import os.path if not os.path.isfile(model_path) : return data_object = data_object_path # model = Utility.load_obj(model_path) # data = model.X.mean # means = np.array(data) GP_LVM_Scatter.plot_scatter( Utility.load_obj(model_path), Utility.load_obj(data_object), out_file_path, label_type=plot_type, perform_unsupervised=False) # sys.exit() pass