def plot_tgp_trace(self, trace):
self.plot_data(big=True)
self.plot_tgp_quantiles(params)
# self.plot_tgp_moments(params)
self.description['scores'] = self.scores(params)
plot_text(self.description['title'], self.description['x'], self.description['y'], loc=1)
self._widget_params = params
def plot_tgp_widget(self, **params):
params = self.check_params_dims(**params)
self._widget_params = params
self.plot_data(big=True)
self.plot_tgp_quantiles(params)
self.plot_tgp_moments(params)
#self.description['scores'] = self.scores(params)
plot_text(self.description['title'], self.description['x'], self.description['y'], loc=1)
def plot_gp(self, params, title=None, samples=0, big=True, scores=False, loc=1):
#if self.space_t is not self.space_x:
# plt.figure(0)
# self.plot_space()
#plt.figure(1)
self.plot_data(big)
self.plot_gp_moments(params)
self.plot_gp_samples(params, samples)
if scores:
self.description['scores'] = self.scores(params)
score_title = 'll_train={:.2f} | ll_test={:.2f}'.format(self.description['scores']['logp_train'],
self.description['scores']['logp_test'])
else:
score_title = ''
if title is None:
title = self.description['title']
plot_text(title + ': ' + score_title, self.description['x'], self.description['y'], loc=loc)
def plot_model(self, **params):
plt.figure(2)
_ = plt.plot(self.compiles['covariance'](**params)[len(self.space_x) // 2, :])
plot_text('kernel', 'x1', 'x2')
return