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chore: Update discovery artifacts #2298

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merged 28 commits into from
Dec 12, 2023
Merged

chore: Update discovery artifacts #2298

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04bc978
chore: update docs/dyn/index.md
yoshi-automation Dec 12, 2023
6f772fd
feat(aiplatform): update the api
yoshi-automation Dec 12, 2023
4ee2fcb
feat(alloydb): update the api
yoshi-automation Dec 12, 2023
dc4e5e9
feat(androidpublisher): update the api
yoshi-automation Dec 12, 2023
79aa42d
feat(baremetalsolution): update the api
yoshi-automation Dec 12, 2023
dfe3739
feat(batch): update the api
yoshi-automation Dec 12, 2023
804ef48
feat(bigquery): update the api
yoshi-automation Dec 12, 2023
bc285d7
feat(cloudbilling): update the api
yoshi-automation Dec 12, 2023
97509bb
feat(clouddeploy): update the api
yoshi-automation Dec 12, 2023
7f26540
feat(connectors): update the api
yoshi-automation Dec 12, 2023
67a8d7a
feat(container): update the api
yoshi-automation Dec 12, 2023
2be21be
feat(datacatalog): update the api
yoshi-automation Dec 12, 2023
0c5d813
feat(dataflow): update the api
yoshi-automation Dec 12, 2023
35ef810
feat(dns): update the api
yoshi-automation Dec 12, 2023
b1823e8
feat(gkehub): update the api
yoshi-automation Dec 12, 2023
14b8076
feat(gkeonprem): update the api
yoshi-automation Dec 12, 2023
03d9f29
feat(metastore): update the api
yoshi-automation Dec 12, 2023
ab03f9c
feat(monitoring): update the api
yoshi-automation Dec 12, 2023
3ddf64c
feat(networkmanagement): update the api
yoshi-automation Dec 12, 2023
a2e8323
feat(networksecurity): update the api
yoshi-automation Dec 12, 2023
9490509
feat(networkservices): update the api
yoshi-automation Dec 12, 2023
8e799b7
feat(playdeveloperreporting): update the api
yoshi-automation Dec 12, 2023
ce81218
feat(pubsub): update the api
yoshi-automation Dec 12, 2023
a2c6f6f
feat(script): update the api
yoshi-automation Dec 12, 2023
9d79a68
feat(securitycenter): update the api
yoshi-automation Dec 12, 2023
7e2f29a
feat(vpcaccess): update the api
yoshi-automation Dec 12, 2023
b5fca8b
chore(docs): Add new discovery artifacts and artifacts with minor upd…
yoshi-automation Dec 12, 2023
0f4739b
Merge branch 'main' into update-discovery-artifacts-2023-12-12-16H39M02S
gcf-merge-on-green[bot] Dec 12, 2023
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16 changes: 8 additions & 8 deletions docs/dyn/aiplatform_v1.projects.locations.batchPredictionJobs.html
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Expand Up @@ -288,10 +288,10 @@ <h3>Method Details</h3>
&quot;instancesFormat&quot;: &quot;A String&quot;, # Required. The format in which instances are given, must be one of the Model&#x27;s supported_input_storage_formats.
},
&quot;instanceConfig&quot;: { # Configuration defining how to transform batch prediction input instances to the instances that the Model accepts. # Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;instanceType&quot;: &quot;A String&quot;, # The format of the instance that the Model accepts. Vertex AI will convert compatible batch prediction input instance formats to the specified format. Supported values are: * `object`: Each input is converted to JSON object format. * For `bigquery`, each row is converted to an object. * For `jsonl`, each line of the JSONL input must be an object. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. * `array`: Each input is converted to JSON array format. * For `bigquery`, each row is converted to an array. The order of columns is determined by the BigQuery column order, unless included_fields is populated. included_fields must be populated for specifying field orders. * For `jsonl`, if each line of the JSONL input is an object, included_fields must be populated for specifying field orders. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. If not specified, Vertex AI converts the batch prediction input as follows: * For `bigquery` and `csv`, the behavior is the same as `array`. The order of columns is the same as defined in the file or table, unless included_fields is populated. * For `jsonl`, the prediction instance format is determined by each line of the input. * For `tf-record`/`tf-record-gzip`, each record will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the record. * For `file-list`, each file in the list will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the file.
Expand Down Expand Up @@ -558,10 +558,10 @@ <h3>Method Details</h3>
&quot;instancesFormat&quot;: &quot;A String&quot;, # Required. The format in which instances are given, must be one of the Model&#x27;s supported_input_storage_formats.
},
&quot;instanceConfig&quot;: { # Configuration defining how to transform batch prediction input instances to the instances that the Model accepts. # Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;instanceType&quot;: &quot;A String&quot;, # The format of the instance that the Model accepts. Vertex AI will convert compatible batch prediction input instance formats to the specified format. Supported values are: * `object`: Each input is converted to JSON object format. * For `bigquery`, each row is converted to an object. * For `jsonl`, each line of the JSONL input must be an object. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. * `array`: Each input is converted to JSON array format. * For `bigquery`, each row is converted to an array. The order of columns is determined by the BigQuery column order, unless included_fields is populated. included_fields must be populated for specifying field orders. * For `jsonl`, if each line of the JSONL input is an object, included_fields must be populated for specifying field orders. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. If not specified, Vertex AI converts the batch prediction input as follows: * For `bigquery` and `csv`, the behavior is the same as `array`. The order of columns is the same as defined in the file or table, unless included_fields is populated. * For `jsonl`, the prediction instance format is determined by each line of the input. * For `tf-record`/`tf-record-gzip`, each record will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the record. * For `file-list`, each file in the list will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the file.
Expand Down Expand Up @@ -870,10 +870,10 @@ <h3>Method Details</h3>
&quot;instancesFormat&quot;: &quot;A String&quot;, # Required. The format in which instances are given, must be one of the Model&#x27;s supported_input_storage_formats.
},
&quot;instanceConfig&quot;: { # Configuration defining how to transform batch prediction input instances to the instances that the Model accepts. # Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;instanceType&quot;: &quot;A String&quot;, # The format of the instance that the Model accepts. Vertex AI will convert compatible batch prediction input instance formats to the specified format. Supported values are: * `object`: Each input is converted to JSON object format. * For `bigquery`, each row is converted to an object. * For `jsonl`, each line of the JSONL input must be an object. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. * `array`: Each input is converted to JSON array format. * For `bigquery`, each row is converted to an array. The order of columns is determined by the BigQuery column order, unless included_fields is populated. included_fields must be populated for specifying field orders. * For `jsonl`, if each line of the JSONL input is an object, included_fields must be populated for specifying field orders. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. If not specified, Vertex AI converts the batch prediction input as follows: * For `bigquery` and `csv`, the behavior is the same as `array`. The order of columns is the same as defined in the file or table, unless included_fields is populated. * For `jsonl`, the prediction instance format is determined by each line of the input. * For `tf-record`/`tf-record-gzip`, each record will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the record. * For `file-list`, each file in the list will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the file.
Expand Down Expand Up @@ -1153,10 +1153,10 @@ <h3>Method Details</h3>
&quot;instancesFormat&quot;: &quot;A String&quot;, # Required. The format in which instances are given, must be one of the Model&#x27;s supported_input_storage_formats.
},
&quot;instanceConfig&quot;: { # Configuration defining how to transform batch prediction input instances to the instances that the Model accepts. # Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;excludedFields&quot;: [ # Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord.
&quot;includedFields&quot;: [ # Fields that will be included in the prediction instance that is sent to the Model. If instance_type is `array`, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord.
&quot;A String&quot;,
],
&quot;instanceType&quot;: &quot;A String&quot;, # The format of the instance that the Model accepts. Vertex AI will convert compatible batch prediction input instance formats to the specified format. Supported values are: * `object`: Each input is converted to JSON object format. * For `bigquery`, each row is converted to an object. * For `jsonl`, each line of the JSONL input must be an object. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. * `array`: Each input is converted to JSON array format. * For `bigquery`, each row is converted to an array. The order of columns is determined by the BigQuery column order, unless included_fields is populated. included_fields must be populated for specifying field orders. * For `jsonl`, if each line of the JSONL input is an object, included_fields must be populated for specifying field orders. * Does not apply to `csv`, `file-list`, `tf-record`, or `tf-record-gzip`. If not specified, Vertex AI converts the batch prediction input as follows: * For `bigquery` and `csv`, the behavior is the same as `array`. The order of columns is the same as defined in the file or table, unless included_fields is populated. * For `jsonl`, the prediction instance format is determined by each line of the input. * For `tf-record`/`tf-record-gzip`, each record will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the record. * For `file-list`, each file in the list will be converted to an object in the format of `{&quot;b64&quot;: }`, where `` is the Base64-encoded string of the content of the file.
Expand Down
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