deeppavlov.core.commands¶
Basic training and inference functions.
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deeppavlov.core.commands.infer.
build_model_from_config
(config: [<class 'str'>, <class 'pathlib.Path'>, <class 'dict'>], mode: str = 'infer', load_trained: bool = False) → deeppavlov.core.common.chainer.Chainer[source]¶ Build and return the model described in corresponding configuration file.
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deeppavlov.core.commands.infer.
interact_model
(config_path: str) → None[source]¶ Start interaction with the model described in corresponding configuration file.
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deeppavlov.core.commands.infer.
predict_on_stream
(config_path: str, batch_size: int = 1, file_path: Optional[str] = None) → None[source]¶ Make a prediction with the component described in corresponding configuration file.
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class
deeppavlov.core.commands.train.
Metric
(name, fn, inputs)¶ -
fn
¶ Alias for field number 1
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inputs
¶ Alias for field number 2
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name
¶ Alias for field number 0
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deeppavlov.core.commands.train.
fit_chainer
(config: dict, iterator: Union[deeppavlov.core.data.data_learning_iterator.DataLearningIterator, deeppavlov.core.data.data_fitting_iterator.DataFittingIterator]) → deeppavlov.core.common.chainer.Chainer[source]¶ Fit and return the chainer described in corresponding configuration dictionary.
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deeppavlov.core.commands.train.
get_iterator_from_config
(config: dict, data: dict)[source]¶ Create iterator (from config) for specified data.
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deeppavlov.core.commands.train.
prettify_metrics
(metrics: List[Tuple[str, float]], precision: int = 4) → collections.OrderedDict[source]¶ Prettifies the dictionary of metrics.
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deeppavlov.core.commands.train.
read_data_by_config
(config: dict)[source]¶ Read data by dataset_reader from specified config.
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deeppavlov.core.commands.train.
train_evaluate_model_from_config
(config: [<class 'str'>, <class 'pathlib.Path'>, <class 'dict'>], iterator=None, to_train=True, to_validate=True) → Dict[str, Dict[str, float]][source]¶ Make training and evaluation of the model described in corresponding configuration file.