本文整理汇总了Python中allennlp.common.Params.keys方法的典型用法代码示例。如果您正苦于以下问题:Python Params.keys方法的具体用法?Python Params.keys怎么用?Python Params.keys使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类allennlp.common.Params
的用法示例。
在下文中一共展示了Params.keys方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: from_params
# 需要导入模块: from allennlp.common import Params [as 别名]
# 或者: from allennlp.common.Params import keys [as 别名]
def from_params(cls, vocab: Vocabulary, params: Params) -> 'BasicTextFieldEmbedder':
token_embedders = {}
keys = list(params.keys())
for key in keys:
embedder_params = params.pop(key)
token_embedders[key] = TokenEmbedder.from_params(vocab, embedder_params)
params.assert_empty(cls.__name__)
return cls(token_embedders)
示例2: from_params
# 需要导入模块: from allennlp.common import Params [as 别名]
# 或者: from allennlp.common.Params import keys [as 别名]
def from_params(cls, vocab: Vocabulary, params: Params) -> 'BasicTextFieldEmbedder': # type: ignore
# pylint: disable=arguments-differ,bad-super-call
# The original `from_params` for this class was designed in a way that didn't agree
# with the constructor. The constructor wants a 'token_embedders' parameter that is a
# `Dict[str, TokenEmbedder]`, but the original `from_params` implementation expected those
# key-value pairs to be top-level in the params object.
#
# This breaks our 'configuration wizard' and configuration checks. Hence, going forward,
# the params need a 'token_embedders' key so that they line up with what the constructor wants.
# For now, the old behavior is still supported, but produces a DeprecationWarning.
embedder_to_indexer_map = params.pop("embedder_to_indexer_map", None)
if embedder_to_indexer_map is not None:
embedder_to_indexer_map = embedder_to_indexer_map.as_dict(quiet=True)
allow_unmatched_keys = params.pop_bool("allow_unmatched_keys", False)
token_embedder_params = params.pop('token_embedders', None)
if token_embedder_params is not None:
# New way: explicitly specified, so use it.
token_embedders = {
name: TokenEmbedder.from_params(subparams, vocab=vocab)
for name, subparams in token_embedder_params.items()
}
else:
# Warn that the original behavior is deprecated
warnings.warn(DeprecationWarning("the token embedders for BasicTextFieldEmbedder should now "
"be specified as a dict under the 'token_embedders' key, "
"not as top-level key-value pairs"))
token_embedders = {}
keys = list(params.keys())
for key in keys:
embedder_params = params.pop(key)
token_embedders[key] = TokenEmbedder.from_params(vocab=vocab, params=embedder_params)
params.assert_empty(cls.__name__)
return cls(token_embedders, embedder_to_indexer_map, allow_unmatched_keys)