mlm_insights.constants package¶

Submodules¶

mlm_insights.constants.definitions module¶

mlm_insights.constants.types module¶

class mlm_insights.constants.types.ColumnType(value)¶

Bases: ExtendedEnum

An enumeration.

ID = 5¶

INPUT = 1¶

PREDICTION = 2¶

PREDICTION_SCORE = 4¶

TARGET = 3¶

class mlm_insights.constants.types.DataType(value)¶

Bases: ExtendedEnum

An enumeration.

BOOLEAN = DataType(bool)¶

DATETIME = DataType(string)¶

FLOAT = DataType(double)¶

INTEGER = DataType(int64)¶

OBJECT = DataType(string)¶

STRING = DataType(string)¶

TEXT = DataType(string)¶

TIMESTAMP = DataType(double)¶

class mlm_insights.constants.types.ExecutionEngineType(value)¶

Bases: ExtendedEnum

An enumeration.

DASK = 'dask'¶

NATIVE = 'native'¶

SPARK = 'spark'¶

classmethod has_value(value: str) → bool¶

class mlm_insights.constants.types.ExtendedEnum(value)¶

Bases: Enum

An enumeration.

classmethod list() → List[str]¶

class mlm_insights.constants.types.FeatureType(data_type: mlm_insights.constants.types.DataType, variable_type: mlm_insights.constants.types.VariableType, column_type: mlm_insights.constants.types.ColumnType = <ColumnType.INPUT: 1>, config: Dict[str, Any] = <factory>)¶

Bases: object

column_type: ColumnType = 1¶: Optional configuration in key value pairs which applies for a particular feature Key must be of type string and values can be one of : number, string and boolean

config: Dict[str, Any]¶

data_type: DataType¶

variable_type: VariableType¶

class mlm_insights.constants.types.PandasDataType(value)¶

Bases: ExtendedEnum

An enumeration.

BOOLEAN = BooleanDtype¶

DATETIME = string[python]¶

FLOAT = Float64Dtype()¶

INTEGER = Int64Dtype()¶

OBJECT = string[python]¶

STRING = string[python]¶

TEXT = string[python]¶

TIMESTAMP = Float64Dtype()¶

class mlm_insights.constants.types.ThresholdValueSource(value)¶

Bases: Enum

An enumeration.

REFERENCE_PROFILE = 1¶

USER_PROVIDED = 0¶

class mlm_insights.constants.types.VariableType(value)¶

Bases: ExtendedEnum

An enumeration.

BINARY = 5¶

CONTINUOUS = 1¶

DATETIME = 9¶

DISCRETE = 2¶

NOMINAL = 3¶

OBJECT = 7¶

ORDINAL = 4¶

TEXT = 6¶

mlm_insights.constants.types.to_native_type(data_type: DataType) → Any¶