VersionFramework enum

Optional. The machine learning framework AI Platform uses to train this version of the model. Valid values are TENSORFLOW, SCIKIT_LEARN, XGBOOST. If you do not specify a framework, AI Platform will analyze files in the deployment_uri to determine a framework. If you choose SCIKIT_LEARN or XGBOOST, you must also set the runtime version of the model to 1.4 or greater. Do not specify a framework if you're deploying a custom prediction routine or if you're using a custom container.

Inheritance

• Object
• Enum
• VersionFramework

Available extensions

• EnumName

Values

frameworkUnspecified → const VersionFramework

const VersionFramework("FRAMEWORK_UNSPECIFIED")

tensorflow → const VersionFramework

const VersionFramework("TENSORFLOW")

scikitLearn → const VersionFramework

const VersionFramework("SCIKIT_LEARN")

xgboost → const VersionFramework

const VersionFramework("XGBOOST")

Properties

hashCode → int

The hash code for this object.

no setter, inherited

index → int

A numeric identifier for the enumerated value.

no setter, inherited

name → String

Available on Enum, provided by the EnumName extension

The name of the enum value.

no setter

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

wireValue → String

final

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Static Methods

fromValue(String value) → VersionFramework

Constants

values → const List<VersionFramework>

A constant List of the values in this enum, in order of their declaration.