Enum StudySpec.ParameterSpec.ScaleType (3.28.0)

public enum StudySpec.ParameterSpec.ScaleType extends Enum<StudySpec.ParameterSpec.ScaleType> implements ProtocolMessageEnum

The type of scaling that should be applied to this parameter.

Protobuf enum google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType

Implements

Enum.name()

Static Fields
Name	Description
`SCALE_TYPE_UNSPECIFIED`	By default, no scaling is applied. `SCALE_TYPE_UNSPECIFIED = 0;`
`SCALE_TYPE_UNSPECIFIED_VALUE`	By default, no scaling is applied. `SCALE_TYPE_UNSPECIFIED = 0;`
`UNIT_LINEAR_SCALE`	Scales the feasible space to (0, 1) linearly. `UNIT_LINEAR_SCALE = 1;`
`UNIT_LINEAR_SCALE_VALUE`	Scales the feasible space to (0, 1) linearly. `UNIT_LINEAR_SCALE = 1;`
`UNIT_LOG_SCALE`	Scales the feasible space logarithmically to (0, 1). The entire feasible space must be strictly positive. `UNIT_LOG_SCALE = 2;`
`UNIT_LOG_SCALE_VALUE`	Scales the feasible space logarithmically to (0, 1). The entire feasible space must be strictly positive. `UNIT_LOG_SCALE = 2;`
`UNIT_REVERSE_LOG_SCALE`	Scales the feasible space "reverse" logarithmically to (0, 1). The result is that values close to the top of the feasible space are spread out more than points near the bottom. The entire feasible space must be strictly positive. `UNIT_REVERSE_LOG_SCALE = 3;`
`UNIT_REVERSE_LOG_SCALE_VALUE`	Scales the feasible space "reverse" logarithmically to (0, 1). The result is that values close to the top of the feasible space are spread out more than points near the bottom. The entire feasible space must be strictly positive. `UNIT_REVERSE_LOG_SCALE = 3;`
`UNRECOGNIZED`

Static Methods
Name	Description
`forNumber(int value)`
`getDescriptor()`
`internalGetValueMap()`
`valueOf(Descriptors.EnumValueDescriptor desc)`
`valueOf(int value)`	Deprecated. Use #forNumber(int) instead.
`valueOf(String name)`
`values()`