def testSequenceTagger(self, mode):
model = models.SequenceTagger(inputters.WordEmbedder(10),
encoders.MeanEncoder(),
crf_decoding=True)
features_file, labels_file, data_config = self._makeToyTaggerData()
data_config["tagging_scheme"] = "bioes"
params = {"optimizer": "SGD", "learning_rate": 0.1}
self._testGenericModel(
model,
mode,
features_file,
labels_file,
data_config,
prediction_heads=["tags", "length"],
metrics=["accuracy", "precision", "recall", "f1"],
params=params)
def testSequenceTagger(self, mode):
model = models.SequenceTagger(
inputters.WordEmbedder("source_vocabulary", 10),
encoders.MeanEncoder(),
"target_vocabulary",
crf_decoding=True,
tagging_scheme="bioes")
features_file, labels_file, metadata = self._makeToyTaggerData()
params = {
"optimizer": "GradientDescentOptimizer",
"learning_rate": 0.1}
self._testGenericModel(
model,
mode,
features_file,
labels_file,
metadata,
prediction_heads=["tags", "length"],
metrics=["accuracy", "precision", "recall", "f1"],
params=params)
