Class TrainingPhrase (2.22.0)

Version 2.22.0

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TrainingPhrase(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents an example that the agent is trained on.

Attributes
Name	Description
name	str Output only. The unique identifier of this training phrase.
type_	google.cloud.dialogflow_v2beta1.types.Intent.TrainingPhrase.Type Required. The type of the training phrase.
parts	MutableSequence[google.cloud.dialogflow_v2beta1.types.Intent.TrainingPhrase.Part] Required. The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the entity_type, alias, and user_defined fields are all set.
times_added_count	int Optional. Indicates how many times this example was added to the intent. Each time a developer adds an existing sample by editing an intent or training, this counter is increased.

Classes

Part

Part(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a part of a training phrase.

Type

Type(value)

Represents different types of training phrases.

Values: TYPE_UNSPECIFIED (0): Not specified. This value should never be used. EXAMPLE (1): Examples do not contain @-prefixed entity type names, but example parts can be annotated with entity types. TEMPLATE (2): Templates are not annotated with entity types, but they can contain @-prefixed entity type names as substrings. Note: Template mode has been deprecated. Example mode is the only supported way to create new training phrases. If you have existing training phrases in template mode, they will be removed during training and it can cause a drop in agent performance.