langml.baselines.ner.cli

Module Contents

Functions

train(model_instance: object, params: langml.baselines.Parameters, epoch: int, save_dir: str, train_path: str, dev_path: str, test_path: str, vocab_path: str, tokenizer_type: str, lowercase: bool, max_len: int, batch_size: int, distributed_training: bool, distributed_strategy: str, monitor: str, early_stop: int, verbose: int)
ner()	ner command line tools
bert_crf(backbone: str, epoch: int, batch_size: int, learning_rate: float, dropout_rate: float, max_len: Optional[int], lowercase: bool, tokenizer_type: Optional[str], config_path: str, ckpt_path: str, vocab_path: str, train_path: str, dev_path: str, test_path: str, save_dir: str, monitor: str, early_stop: int, verbose: int, distributed_training: bool, distributed_strategy: str)
lstm_crf(epoch: int, batch_size: int, learning_rate: float, dropout_rate: float, embedding_size: int, hidden_size: int, max_len: Optional[int], lowercase: bool, tokenizer_type: Optional[str], vocab_path: str, train_path: str, dev_path: str, test_path: str, save_dir: str, monitor: str, early_stop: int, verbose: int, distributed_training: bool, distributed_strategy: str)

langml.baselines.ner.cli.train(model_instance: object, params: langml.baselines.Parameters, epoch: int, save_dir: str, train_path: str, dev_path: str, test_path: str, vocab_path: str, tokenizer_type: str, lowercase: bool, max_len: int, batch_size: int, distributed_training: bool, distributed_strategy: str, monitor: str, early_stop: int, verbose: int)

langml.baselines.ner.cli.ner()

ner command line tools

langml.baselines.ner.cli.bert_crf(backbone: str, epoch: int, batch_size: int, learning_rate: float, dropout_rate: float, max_len: Optional[int], lowercase: bool, tokenizer_type: Optional[str], config_path: str, ckpt_path: str, vocab_path: str, train_path: str, dev_path: str, test_path: str, save_dir: str, monitor: str, early_stop: int, verbose: int, distributed_training: bool, distributed_strategy: str)

langml.baselines.ner.cli.lstm_crf(epoch: int, batch_size: int, learning_rate: float, dropout_rate: float, embedding_size: int, hidden_size: int, max_len: Optional[int], lowercase: bool, tokenizer_type: Optional[str], vocab_path: str, train_path: str, dev_path: str, test_path: str, save_dir: str, monitor: str, early_stop: int, verbose: int, distributed_training: bool, distributed_strategy: str)