StreamingTransformedDataContext 类

用户向数据提供了所应用的转换。

如果没有预处理，这将与 RawDataContext 相同。 此类还将保留用于流式处理的必要的转换器。

继承

BaseDataContext

StreamingTransformedDataContext

构造函数

StreamingTransformedDataContext(training_data: azureml.dataprep.api.dataflow.Dataflow, label_column_name: str, raw_data_snapshot: str, output_data_snapshot: str, x_raw_column_names: numpy.ndarray, weight_column_name: Optional[str] = None, validation_data: Optional[azureml.dataprep.api.dataflow.Dataflow] = None, logger: Any = <Logger azureml.automl.runtime.streaming_data_context (INFO)>)

参数

training_data

label_column_name

raw_data_snapshot

output_data_snapshot

x_raw_column_names

weight_column_name

默认值: None

validation_data

默认值: None

logger

默认值: <Logger azureml.automl.runtime.streaming_data_context (INFO)>

方法

get_featurization_transformer
get_featurized_column_names
set_featurization_transformer
set_featurized_column_names

get_featurization_transformer

get_featurization_transformer() -> Optional[azureml.automl.runtime.featurization.streaming.streaming_featurization_transformer.StreamingFeaturizationTransformer]

get_featurized_column_names

get_featurized_column_names() -> List[str]

set_featurization_transformer

set_featurization_transformer(featurization_transformer: azureml.automl.runtime.featurization.streaming.streaming_featurization_transformer.StreamingFeaturizationTransformer) -> None

参数

featurization_transformer

必需

set_featurized_column_names

set_featurized_column_names(_featurized_column_names: List[str]) -> None

参数

_featurized_column_names

必需