orkgnlp.nli.templates.encoder.TemplatesRecommenderEncoder

class TemplatesRecommenderEncoder(templates)[source]

Bases: ORKGNLPBaseEncoder

The TemplatesRecommenderEncoder encodes the given input to the arguments needed to execute a BertForSequenceClassification model.

Parameters

templates (List[Dict[str, str]]) – templates used for training the service models as premises.

Methods

encode

Encodes the raw_input to a model-friendly format.

release_memory

Releases the memory of all available attributes in a pipeline component.
encode(raw_input, **kwargs)[source]

Encodes the raw_input to a model-friendly format.

Parameters

raw_input (Any) – The user’s input to be encoded.

Return type

Tuple[Any, Dict[str, Any]]

Returns

The model-friendly output and kwargs.

release_memory()

Releases the memory of all available attributes in a pipeline component.