n_jobs=-1)
for subject in subjects:
report = OnlineReport()
# target ------------------------------------------------------------------
epochs, events = load(subject, 'Target')
# Decode angles -----------------------------------------------------------
gat = gat_angle
angles = np.array(events['left_angle'].as_matrix(), float)
gat.fit(epochs, y=angles)
gat.score(epochs, y=angles)
fig, ax = plt.subplots(1)
gat.plot(ax=ax, show=True)
report.add_figs_to_section(fig, 'left_SVR', subject + 'Target')
print('left_SVR', 'Target')
gat = gat_angle
angles = np.array(events['right_angle'].as_matrix(), float)
gat.fit(epochs, y=angles)
gat.score(epochs, y=angles)
fig, ax = plt.subplots(1)
gat.plot(ax=ax, show=False)
report.add_figs_to_section(fig, 'right_SVR', subject + 'Target')
print('right_SVR', 'Target')
gat = gat_angle2
angles = np.array(events['left_angle'].as_matrix(), float)
gat.fit(epochs, y=angles)
gat.score(epochs, y=angles)
gat_class = GeneralizationAcrossTime(n_jobs=-1)
for subject in subjects:
report = OnlineReport()
# target ------------------------------------------------------------------
epochs, events = load(subject, 'Target')
epochs.resample(64)
# Decode angles -----------------------------------------------------------
gat = gat_angle
angles = np.array(events['left_angle'].as_matrix(), float)
gat.fit(epochs, y=angles)
score = gat.score(epochs, y=angles)
fig, ax = plt.subplots(1)
gat.plot(ax=ax, show=False)
report.add_figs_to_section(fig, 'left_angle', subject + 'Target')
all_left_angle = list()
all_left_angle.append(score)
print('left_angle', 'Target')
plt.matshow(np.mean(all_left_angle, axis=0))
report.add_figs_to_section(fig, 'All_left_angle', subject + 'Target')
angles = np.array(events['right_angle'].as_matrix(), float)
gat.fit(epochs, y=angles)
gat.score(epochs, y=angles)
fig, ax = plt.subplots(1)
gat.plot(ax=ax, show=False)
report.add_figs_to_section(fig, 'right_angle', subject + 'Target')
print('right_angle', 'Target')
# Decode Spatial_Frequency -----------------------------------------------------------
