TransformedDataContext 类
用户向数据提供了所应用的转换。
如果没有完成任何特征化,这将与 RawDataContext 相同。 此类还将保留所使用的必要转换器。
- 继承
-
TransformedDataContext
构造函数
TransformedDataContext(X, y=None, X_valid=None, y_valid=None, sample_weight=None, sample_weight_valid=None, x_raw_column_names=None, cv_splits_indices=None, num_cv_folds=None, n_step=None, validation_size=None, timeseries=False, timeseries_param_dict=None, cache_store=None, logger=<Logger azureml.automl.runtime.data_context (INFO)>, task_type=None, X_raw_cleaned=None, y_raw_cleaned=None, X_valid_raw_cleaned=None, y_valid_raw_cleaned=None, data_snapshot_str='', data_snapshot_str_with_quantiles='', output_data_snapshot_str_with_quantiles='')
参数
- X
- y
默认值: None
- X_valid
默认值: None
- y_valid
默认值: None
- sample_weight
默认值: None
- sample_weight_valid
默认值: None
- x_raw_column_names
默认值: None
- cv_splits_indices
默认值: None
- num_cv_folds
默认值: None
- n_step
默认值: None
- validation_size
默认值: None
- timeseries
默认值: False
- timeseries_param_dict
默认值: None
- cache_store
默认值: None
- logger
默认值: <Logger azureml.automl.runtime.data_context (INFO)>
- task_type
默认值: None
- X_raw_cleaned
默认值: None
- y_raw_cleaned
默认值: None
- X_valid_raw_cleaned
默认值: None
- y_valid_raw_cleaned
默认值: None
- data_snapshot_str
- data_snapshot_str_with_quantiles
- output_data_snapshot_str_with_quantiles
方法
| cleanup |
清理缓存。 |
cleanup
清理缓存。
cleanup() -> None
属性
FEATURIZED_CV_SPLIT_KEY_INITIALS
FEATURIZED_CV_SPLIT_KEY_INITIALS = 'featurized_cv_split_'
FEATURIZED_TRAIN_TEST_VALID_KEY_INITIALS
FEATURIZED_TRAIN_TEST_VALID_KEY_INITIALS = 'featurized_train_test_valid'
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