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OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Configures the output of BatchPredictionJob. See Model.supported_output_storage_formats for supported output formats, and how predictions are expressed via any of them.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes |
|
---|---|
Name | Description |
gcs_destination |
google.cloud.aiplatform_v1beta1.types.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][google.rpc.Status]
containing only code and message fields.
This field is a member of oneof _ destination .
|
bigquery_destination |
google.cloud.aiplatform_v1beta1.types.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][google.rpc.Status] represented as a
STRUCT, and containing only code and message .
This field is a member of oneof _ destination .
|
predictions_format |
str
Required. The format in which Vertex AI gives the predictions, must be one of the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] supported_output_storage_formats. |
Methods
OutputConfig
OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Configures the output of BatchPredictionJob. See Model.supported_output_storage_formats for supported output formats, and how predictions are expressed via any of them.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields