6209a8fb0d19d8808ce0c0250193beb770267137,python/baseline/tf/tagger/train.py,,fit,#Any#Any#Any#Any#,136

Before Change

    patience = int(kwargs["patience"]) if "patience" in kwargs else epochs
    conll_file = kwargs.get("conll_file", None)
    txts = kwargs.get("txts", None)
    model_file = kwargs["outfile"] if "outfile" in kwargs and kwargs["outfile"] is not None else "./tagger-model-tf"
    after_train_fn = kwargs["after_train_fn"] if "after_train_fn" in kwargs else None
    trainer = TaggerTrainerTf(model, **kwargs)
    init = tf.global_variables_initializer()
    model.sess.run(init)

After Change

    patience = int(kwargs["patience"]) if "patience" in kwargs else epochs
    conll_file = kwargs.get("conll_file", None)
    txts = kwargs.get("txts", None)
    model_file = get_model_file(kwargs, "tagger", "tf")
    after_train_fn = kwargs["after_train_fn"] if "after_train_fn" in kwargs else None
    trainer = TaggerTrainerTf(model, **kwargs)
    init = tf.global_variables_initializer()
    model.sess.run(init)

Instances