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'