data_check_message_code

Enum for data check message code.

Module Contents

Classes Summary

DataCheckMessageCode

Enum for data check message code.

Contents

class evalml.data_checks.data_check_message_code.DataCheckMessageCode

Enum for data check message code.

Attributes

CLASS_IMBALANCE_BELOW_FOLDS	Message code for when the number of values for each target is below 2 * number of CV folds.
CLASS_IMBALANCE_BELOW_THRESHOLD	Message code for when balance in classes is less than the threshold.
CLASS_IMBALANCE_SEVERE	Message code for when balance in classes is less than the threshold and minimum class is less than minimum number of accepted samples.
COLS_WITH_NULL	Message code for columns with null values.
DATETIME_HAS_MISALIGNED_VALUES	Message code for when datetime information has values that are not aligned with the inferred frequency.
DATETIME_HAS_NAN	Message code for when input datetime columns contain NaN values.
DATETIME_HAS_REDUNDANT_ROW	Message code for when datetime information has more than one row per datetime.
DATETIME_HAS_UNEVEN_INTERVALS	Message code for when the datetime values have uneven intervals.
DATETIME_INFORMATION_NOT_FOUND	Message code for when datetime information can not be found or is in an unaccepted format.
DATETIME_IS_MISSING_VALUES	Message code for when datetime feature has values missing between the start and end dates.
DATETIME_IS_NOT_MONOTONIC	Message code for when the datetime values are not monotonically increasing.
DATETIME_NO_FREQUENCY_INFERRED	Message code for when no frequency can be inferred in the datetime values through Woodwork’s infer_frequency.
HAS_ID_COLUMN	Message code for data that has ID columns.
HAS_ID_FIRST_COLUMN	Message code for data that has an ID column as the first column.
HAS_OUTLIERS	Message code for when outliers are detected.
HIGH_VARIANCE	Message code for when high variance is detected for cross-validation.
HIGHLY_NULL_COLS	Message code for highly null columns.
HIGHLY_NULL_ROWS	Message code for highly null rows.
IS_MULTICOLLINEAR	Message code for when data is potentially multicollinear.
MISMATCHED_INDICES	Message code for when input target and features have mismatched indices.
MISMATCHED_INDICES_ORDER	Message code for when input target and features have mismatched indices order. The two inputs have the same index values, but shuffled.
MISMATCHED_LENGTHS	Message code for when input target and features have different lengths.
NATURAL_LANGUAGE_HAS_NAN	Message code for when input natural language columns contain NaN values.
NO_VARIANCE	Message code for when data has no variance (1 unique value).
NO_VARIANCE_WITH_NULL	Message code for when data has one unique value and NaN values.
NO_VARIANCE_ZERO_UNIQUE	Message code for when data has no variance (0 unique value)
NOT_UNIQUE_ENOUGH	Message code for when data does not possess enough unique values.
TARGET_BINARY_NOT_TWO_UNIQUE_VALUES	Message code for target data for a binary classification problem that does not have two unique values.
TARGET_HAS_NULL	Message code for target data that has null values.
TARGET_INCOMPATIBLE_OBJECTIVE	Message code for target data that has incompatible values for the specified objective
TARGET_IS_EMPTY_OR_FULLY_NULL	Message code for target data that is empty or has all null values.
TARGET_IS_NONE	Message code for when target is None.
TARGET_LEAKAGE	Message code for when target leakage is detected.
TARGET_LOGNORMAL_DISTRIBUTION	Message code for target data with a lognormal distribution.
TARGET_MULTICLASS_HIGH_UNIQUE_CLASS	Message code for target data for a multi classification problem that has an abnormally large number of unique classes relative to the number of target values.
TARGET_MULTICLASS_NOT_ENOUGH_CLASSES	Message code for target data for a multi classification problem that does not have more than two unique classes.
TARGET_MULTICLASS_NOT_TWO_EXAMPLES_PER_CLASS	Message code for target data for a multi classification problem that does not have two examples per class.
TARGET_UNSUPPORTED_PROBLEM_TYPE	Message code for target data that is being checked against an unsupported problem type.
TARGET_UNSUPPORTED_TYPE	Message code for target data that is of an unsupported type.
TARGET_UNSUPPORTED_TYPE_REGRESSION	Message code for target data that is incompatible with regression
TIMESERIES_PARAMETERS_NOT_COMPATIBLE_WITH_SPLIT	Message code when the time series parameters are too large for the smallest data split.
TIMESERIES_TARGET_NOT_COMPATIBLE_WITH_SPLIT	Message code when any training and validation split of the time series target doesn’t contain all classes.
TOO_SPARSE	Message code for when multiclass data has values that are too sparsely populated.
TOO_UNIQUE	Message code for when data possesses too many unique values.

Methods

name	The name of the Enum member.
value	The value of the Enum member.

name(self)

The name of the Enum member.

value(self)

The value of the Enum member.