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BatchPrediction

Source code in docs_src/capo_frauddetector/types/batch_prediction.py
class BatchPrediction(TypedDict, closed=True):
    job_id: NotRequired["capo_frauddetector.types.identifier.identifier"]
    """<p>The job ID for the batch prediction.</p>"""
    status: NotRequired["capo_frauddetector.types.async_job_status.AsyncJobStatus"]
    """<p>The batch prediction status.</p>"""
    failure_reason: NotRequired["capo_frauddetector.types.string.string"]
    """<p>The reason a batch prediction job failed.</p>"""
    start_time: NotRequired["capo_frauddetector.types.time.time"]
    """<p>Timestamp of when the batch prediction job started.</p>"""
    completion_time: NotRequired["capo_frauddetector.types.time.time"]
    """<p>Timestamp of when the batch prediction job completed.</p>"""
    last_heartbeat_time: NotRequired["capo_frauddetector.types.time.time"]
    """<p>Timestamp of most recent heartbeat indicating the batch prediction job was making progress.</p>"""
    input_path: NotRequired[
        "capo_frauddetector.types.s3_bucket_location.s3BucketLocation"
    ]
    """<p>The Amazon S3 location of your training file.</p>"""
    output_path: NotRequired[
        "capo_frauddetector.types.s3_bucket_location.s3BucketLocation"
    ]
    """<p>The Amazon S3 location of your output file.</p>"""
    event_type_name: NotRequired["capo_frauddetector.types.identifier.identifier"]
    """<p>The name of the event type.</p>"""
    detector_name: NotRequired["capo_frauddetector.types.identifier.identifier"]
    """<p>The name of the detector.</p>"""
    detector_version: NotRequired[
        "capo_frauddetector.types.float_version_string.floatVersionString"
    ]
    """<p>The detector version. </p>"""
    iam_role_arn: NotRequired["capo_frauddetector.types.iam_role_arn.iamRoleArn"]
    """<p>The ARN of the IAM role to use for this job request.</p>"""
    arn: NotRequired["capo_frauddetector.types.fraud_detector_arn.fraudDetectorArn"]
    """<p>The ARN of batch prediction job.</p>"""
    processed_records_count: NotRequired["capo_frauddetector.types.integer.Integer"]
    """<p>The number of records processed by the batch prediction job.</p>"""
    total_records_count: NotRequired["capo_frauddetector.types.integer.Integer"]
    """<p>The total number of records in the batch prediction job.</p>"""

arn instance-attribute

arn: NotRequired[fraudDetectorArn]

The ARN of batch prediction job.

completion_time instance-attribute

completion_time: NotRequired[time]

Timestamp of when the batch prediction job completed.

detector_name instance-attribute

detector_name: NotRequired[identifier]

The name of the detector.

detector_version instance-attribute

detector_version: NotRequired[floatVersionString]

The detector version.

event_type_name instance-attribute

event_type_name: NotRequired[identifier]

The name of the event type.

failure_reason instance-attribute

failure_reason: NotRequired[string]

The reason a batch prediction job failed.

iam_role_arn instance-attribute

iam_role_arn: NotRequired[iamRoleArn]

The ARN of the IAM role to use for this job request.

input_path instance-attribute

input_path: NotRequired[s3BucketLocation]

The Amazon S3 location of your training file.

job_id instance-attribute

job_id: NotRequired[identifier]

The job ID for the batch prediction.

last_heartbeat_time instance-attribute

last_heartbeat_time: NotRequired[time]

Timestamp of most recent heartbeat indicating the batch prediction job was making progress.

output_path instance-attribute

output_path: NotRequired[s3BucketLocation]

The Amazon S3 location of your output file.

processed_records_count instance-attribute

processed_records_count: NotRequired[Integer]

The number of records processed by the batch prediction job.

start_time instance-attribute

start_time: NotRequired[time]

Timestamp of when the batch prediction job started.

status instance-attribute

status: NotRequired[AsyncJobStatus]

The batch prediction status.

total_records_count instance-attribute

total_records_count: NotRequired[Integer]

The total number of records in the batch prediction job.