Google Cloud Ai Platform V1 Client - Class ScaleType (1.0.0)

Version 1.0.0

• 1.13.1 (latest)
• 1.13.0
• 1.12.0
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.39.0
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ScaleType.

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

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

Namespace

Google \ Cloud \ AIPlatform \ V1 \ StudySpec \ ParameterSpec

Methods

static::name

Parameter
Name	Description
value	mixed

static::value

Parameter
Name	Description
name	mixed

Constants

SCALE_TYPE_UNSPECIFIED

Value: 0

By default, no scaling is applied.

Generated from protobuf enum SCALE_TYPE_UNSPECIFIED = 0;

UNIT_LINEAR_SCALE

Value: 1

Scales the feasible space to (0, 1) linearly.

Generated from protobuf enum UNIT_LINEAR_SCALE = 1;

UNIT_LOG_SCALE

Value: 2

Scales the feasible space logarithmically to (0, 1). The entire feasible space must be strictly positive.

Generated from protobuf enum UNIT_LOG_SCALE = 2;

UNIT_REVERSE_LOG_SCALE

Value: 3

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.

Generated from protobuf enum UNIT_REVERSE_LOG_SCALE = 3;