Source code for nlp_architect.nn.tensorflow.python.keras.callbacks

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from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import absolute_import

import tensorflow as tf

from nlp_architect.utils.metrics import get_conll_scores


[docs]class ConllCallback(tf.keras.callbacks.Callback): """ A Tensorflow(Keras) Conlleval evaluator. Runs the conlleval script for given x and y inputs. Prints Conlleval F1 score on the end of each epoch. Args: x: features matrix y: labels matrix y_vocab (dict): int-to-str labels lexicon batch_size (:obj:`int`, optional): batch size """ def __init__(self, x, y, y_vocab, batch_size=1): super(ConllCallback, self).__init__() self.x = x self.y = y self.y_vocab = {v: k for k, v in y_vocab.items()} self.bsz = batch_size
[docs] def on_epoch_end(self, epoch, logs=None): predictions = self.model.predict(self.x, batch_size=self.bsz) stats = get_conll_scores(predictions, self.y, self.y_vocab) print() print('Conll eval: \n{}'.format(stats))