def visualize_classifier(self, item_number):
'show the results of running the classifier on text number item_number'
if not self.trained:
self.fit_and_validate()
w = self.data.dev_item_token_views(item_number)
s = self.dev_d[item_number]
e = self.dev_d[item_number + 1]
tagtools.visualize(w, {
'actual': self.dev_y[s:e],
'predicted': self.dev_predictions[s:e]
})
def visualize_decoder(self, item):
'show the results of running the classifier and decoder on text number item_number'
if not self.decoded:
self.decode_and_validate()
w = self.data.dev_item_token_views(item)
s = self.dev_d[item]
e = self.dev_d[item + 1]
tagtools.visualize(
w, {
'actual': self.dev_y[s:e],
'best': self.dev_predictions[s:e],
'predicted': self.dev_decoded[s:e]
})