TrainingConfig class final

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

Inheritance
  • Object
  • ProtoMessage
  • TrainingConfig

Constructors

TrainingConfig({int timeoutTrainingMilliHours = 0})
TrainingConfig.fromJson(Map<String, dynamic> json)
factory

Properties

hashCode int
The hash code for this object.
no setterinherited
qualifiedName String
The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType Type
A representation of the runtime type of the object.
no setterinherited
timeoutTrainingMilliHours int
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toJson() Object
override
toString() String
A string representation of this object.
override

Operators

operator ==(Object other) bool
The equality operator.
inherited

Constants

fullyQualifiedName → const String