AlgorithmSpecification Struct
Specify the training algorithm and algorithm-specific metadata.
Example
ts
new tasks.SageMakerCreateTrainingJob(this, 'TrainSagemaker', {
trainingJobName: sfn.JsonPath.stringAt('$.JobName'),
algorithmSpecification: {
algorithmName: 'BlazingText',
trainingInputMode: tasks.InputMode.FILE,
},
inputDataConfig: [{
channelName: 'train',
dataSource: {
s3DataSource: {
s3DataType: tasks.S3DataType.S3_PREFIX,
s3Location: tasks.S3Location.fromJsonExpression('$.S3Bucket'),
},
},
}],
outputDataConfig: {
s3OutputLocation: tasks.S3Location.fromBucket(s3.Bucket.fromBucketName(this, 'Bucket', 'amzn-s3-demo-bucket'), 'myoutputpath'),
},
resourceConfig: {
instanceCount: 1,
instanceType: new ec2.InstanceType(sfn.JsonPath.stringAt('$.InstanceType')),
volumeSize: Size.gibibytes(50),
}, // optional: default is 1 instance of EC2 `M4.XLarge` with `10GB` volume
stoppingCondition: {
maxRuntime: Duration.hours(2),
}, // optional: default is 1 hour
});
Properties
algorithmNameoptionalstringalgorithm_nameoptionalstralgorithmNameoptionalStringAlgorithmNameoptionalstringAlgorithmNameoptional*string#Name of the algorithm resource to use for the training job.
Default: No algorithm is specified
This must be an algorithm resource that you created or subscribe to on AWS Marketplace. If you specify a value for this parameter, you can't specify a value for TrainingImage.
metricDefinitionsoptionalMetricDefinition[]metric_definitionsoptionaltyping.List[MetricDefinition]metricDefinitionsoptionalList<MetricDefinition>MetricDefinitionsoptionalMetricDefinition[]MetricDefinitionsoptional*[]MetricDefinition#List of metric definition objects.
Default: No metrics
Each object specifies the metric name and regular expressions used to parse algorithm logs.
trainingImageoptionalDockerImagetraining_imageoptionalDockerImagetrainingImageoptionalDockerImageTrainingImageoptionalDockerImageTrainingImageoptionalDockerImage#Registry path of the Docker image that contains the training algorithm.
Default: No Docker image is specified