evalml.data_checks.DataCheckMessageCode¶

class evalml.data_checks.DataCheckMessageCode(value)[source]¶

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.
`DATETIME_HAS_NAN`	Message code for when input datetime columns contain NaN values.
`HAS_ID_COLUMN`	Message code for data that has ID columns.
`HAS_OUTLIERS`	Message code for when outliers are detected.
`HIGHLY_NULL_COLS`	Message code for highly null columns.
`HIGHLY_NULL_ROWS`	Message code for highly null rows.
`HIGH_VARIANCE`	Message code for when high variance is detected for cross-validation.
`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.
`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.
`NOT_UNIQUE_ENOUGH`	Message code for when data does not possess enough unique 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.
`TARGET_BINARY_INVALID_VALUES`	Message code for target data for a binary classification problem with numerical values not equal to {0, 1}.
`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_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_TYPE`	Message code for target data that is of an unsupported type.
`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.

evalml.data_checks.DataCheckMessageType evalml.utils.import_or_raise