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