deeppavlov.core.common¶
Registration and classes initialization functionality, class method decorators.
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class
deeppavlov.core.common.chainer.Chainer(in_x: Union[str, list] = None, out_params: Union[str, list] = None, in_y: Union[str, list] = None, *args, as_component: bool = False, **kwargs)[source]¶ Builds an agent/component pipeline from heterogeneous components (Rule-based/ML/DL). It allows to train and infer models in a pipeline as a whole.
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deeppavlov.core.common.metrics_registry.fn_from_str(name: str) → Callable[..., Any][source]¶ Returns a function object with the name given in string.
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deeppavlov.core.common.metrics_registry.get_metrics_by_names(names: list) → List[Callable[..., Any]][source]¶ Returns a list of metric callables with corresponding names.
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deeppavlov.core.common.metrics_registry.register_metric(metric_name: str) → Callable[..., Any][source]¶ Decorator for metric registration.
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deeppavlov.core.common.params.from_params(params: Dict, mode: str = 'infer', **kwargs) → deeppavlov.core.models.component.Component[source]¶ Builds and returns the Component from corresponding dictionary of parameters.
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deeppavlov.core.common.registry.cls_from_str(name: str) → type[source]¶ Returns a class object with the name given as a string.
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deeppavlov.core.common.registry.get_model(name: str) → type[source]¶ Returns a registered class object with the name given in the string.
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deeppavlov.core.common.registry.list_models() → list[source]¶ Returns a list of names of registered classes.