Class GoogleCloudAiplatformV1beta1BatchPredictionJobOutputConfig
Configures the output of BatchPredictionJob. See Model.supported_output_storage_formats for supported output formats, and how predictions are expressed via any of them.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1BatchPredictionJobOutputConfig : IDirectResponseSchema
Properties
BigqueryDestination
The BigQuery project or dataset location where the output is to be written to. If project is provided, a new
dataset is created with name prediction__
where is made BigQuery-dataset-name compatible (for example,
most special characters become underscores), and timestamp is in YYYY_MM_DDThh_mm_ss_sssZ "based on
ISO-8601" format. In the dataset two tables will be created, predictions
, and errors
. If the Model has
both instance and prediction schemata defined then the tables have columns as follows: The predictions
table contains instances for which the prediction succeeded, it has columns as per a concatenation of the
Model's instance and prediction schemata. The errors
table contains rows for which the prediction has
failed, it has instance columns, as per the instance schema, followed by a single "errors" column, which as
values has google.rpc.Status represented as a STRUCT, and containing only code
and message
.
Declaration
[JsonProperty("bigqueryDestination")]
public virtual GoogleCloudAiplatformV1beta1BigQueryDestination BigqueryDestination { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1beta1BigQueryDestination |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
GcsDestination
The Cloud Storage location of the directory where the output is to be written to. In the given directory a
new directory is created. Its name is prediction--
, where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ
ISO-8601 format. Inside of it files predictions_0001.
, predictions_0002.
, ..., predictions_N.
are
created where `` depends on chosen predictions_format, and N may equal 0001 and depends on the total number
of successfully predicted instances. If the Model has both instance and prediction schemata defined then
each such file contains predictions as per the predictions_format. If prediction for any instance failed
(partially or completely), then an additional errors_0001.
, errors_0002.
,..., errors_N.
files are
created (N depends on total number of failed predictions). These files contain the failed instances, as per
their schema, followed by an additional error
field which as value has google.rpc.Status containing only
code
and message
fields.
Declaration
[JsonProperty("gcsDestination")]
public virtual GoogleCloudAiplatformV1beta1GcsDestination GcsDestination { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1beta1GcsDestination |
PredictionsFormat
Required. The format in which Vertex AI gives the predictions, must be one of the Model's supported_output_storage_formats.
Declaration
[JsonProperty("predictionsFormat")]
public virtual string PredictionsFormat { get; set; }
Property Value
Type | Description |
---|---|
string |