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_v2.types.Intent.TrainingPhrase.Type
Required. The type of the training phrase. |
parts |
MutableSequence[google.cloud.dialogflow_v2.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.