BatchTransformInputProperty Struct
Input object for the batch transform job.
Example
ts
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_sagemaker as sagemaker } from 'aws-cdk-lib';
const batchTransformInputProperty: sagemaker.CfnMonitoringSchedule.BatchTransformInputProperty = {
dataCapturedDestinationS3Uri: 'dataCapturedDestinationS3Uri',
datasetFormat: {
csv: {
header: false,
},
json: {
line: false,
},
parquet: false,
},
localPath: 'localPath',
// the properties below are optional
excludeFeaturesAttribute: 'excludeFeaturesAttribute',
s3DataDistributionType: 's3DataDistributionType',
s3InputMode: 's3InputMode',
};
Properties
dataCapturedDestinationS3Uristringdata_captured_destination_s3_uristrdataCapturedDestinationS3UriStringDataCapturedDestinationS3UristringDataCapturedDestinationS3Uri*stringrequired#The Amazon S3 location being used to capture the data.
datasetFormatIResolvable | CfnMonitoringSchedule.DatasetFormatPropertydataset_formattyping.Union[IResolvable, DatasetFormatProperty]datasetFormatIResolvableDatasetFormatIResolvableDatasetFormatinterface{}required#The dataset format for your batch transform job.
excludeFeaturesAttributestringexclude_features_attributestrexcludeFeaturesAttributeStringExcludeFeaturesAttributestringExcludeFeaturesAttribute*string#The attributes of the input data to exclude from the analysis.
Path to the filesystem where the batch transform data is available to the container.
s3DataDistributionTypestrings3_data_distribution_typestrs3DataDistributionTypeStringS3DataDistributionTypestringS3DataDistributionType*string#Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
Defaults to FullyReplicated
Whether the `Pipe` or `File` is used as the input mode for transferring data for the monitoring job.
Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File .