RegisteredDatasetDatasetReportSentimentAnalysis

pydantic model openapi_client.models.registered_dataset_dataset_report_sentiment_analysis.RegisteredDatasetDatasetReportSentimentAnalysis

RegisteredDatasetDatasetReportSentimentAnalysis

Fields:

• sentiment (str | None)

• sentiment_score (openapi_client.models.registered_dataset_dataset_report_sentiment_analysis_sentiment_score.RegisteredDatasetDatasetReportSentimentAnalysisSentimentScore | None)

field sentiment: Optional[StrictStr] = None (alias 'Sentiment')

field sentiment_score: Optional[RegisteredDatasetDatasetReportSentimentAnalysisSentimentScore] = None (alias 'SentimentScore')

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 RegisteredDatasetDatasetReportSentimentAnalysis 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 RegisteredDatasetDatasetReportSentimentAnalysis from a dict

Return type:

Optional[Self]