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
algorithmNamestringalgorithm_namestralgorithmNameStringAlgorithmNamestringAlgorithmName*string= No algorithm is specified#Name of the algorithm resource to use for the training job.
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.
metricDefinitionsMetricDefinition[]metric_definitionstyping.List[MetricDefinition]metricDefinitionsList<MetricDefinition>MetricDefinitionsMetricDefinition[]MetricDefinitions*[]MetricDefinition= No metrics#List of metric definition objects.
Each object specifies the metric name and regular expressions used to parse algorithm logs.
trainingImageDockerImagetraining_imageDockerImagetrainingImageDockerImageTrainingImageDockerImageTrainingImageDockerImage= No Docker image is specified#Registry path of the Docker image that contains the training algorithm.