RegisteredDatasetDatasetReport

pydantic model openapi_client.models.registered_dataset_dataset_report.RegisteredDatasetDatasetReport

AI-generated dataset analytics.

Fields:

• entities (openapi_client.models.registered_dataset_dataset_report_entities.RegisteredDatasetDatasetReportEntities | None)

• key_phrases (List[openapi_client.models.registered_dataset_dataset_report_key_phrases_inner.RegisteredDatasetDatasetReportKeyPhrasesInner] | None)

• languages (List[str] | None)

• sentiment_analysis (openapi_client.models.registered_dataset_dataset_report_sentiment_analysis.RegisteredDatasetDatasetReportSentimentAnalysis | None)

field key_phrases: Optional[List[RegisteredDatasetDatasetReportKeyPhrasesInner]] = None (alias 'KeyPhrases')

field languages: Optional[List[StrictStr]] = None (alias 'Languages')

field entities: Optional[RegisteredDatasetDatasetReportEntities] = None (alias 'Entities')

field sentiment_analysis: Optional[RegisteredDatasetDatasetReportSentimentAnalysis] = None (alias 'SentimentAnalysis')

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of RegisteredDatasetDatasetReport from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of RegisteredDatasetDatasetReport from a dict

Return type:

Optional[Self]