You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/dyn/adsense_v2.accounts.reports.html
+2Lines changed: 2 additions & 0 deletions
Original file line number
Diff line number
Diff line change
@@ -131,6 +131,7 @@ <h3>Method Details</h3>
131
131
AD_UNIT_SIZE_CODE - The size code of an ad unit (e.g. "728x90", "responsive").
132
132
CUSTOM_CHANNEL_NAME - Custom channel name. The members of this dimension match the values from CustomChannel.display_name.
133
133
CUSTOM_CHANNEL_ID - Unique ID of a custom channel. The members of this dimension match the values from CustomChannel.reporting_dimension_id.
134
+
HOSTED_CUSTOM_CHANNEL_ID - Unique ID of a hosted client's custom channel.
134
135
OWNED_SITE_DOMAIN_NAME - Domain name of a verified site (e.g. "example.com"). The members of this dimension match the values from Site.domain.
135
136
OWNED_SITE_ID - Unique ID of a verified site. The members of this dimension match the values from Site.reporting_dimension_id.
136
137
PAGE_URL - URL of the page upon which the ad was served. This is a complete URL including scheme and query parameters. Note that the URL that appears in this dimension may be a canonicalized version of the one that was used in the original request, and so may not exactly match the URL that a user might have seen. Note that there are also some caveats to be aware of when using this dimension. For more information, see [Page URL breakdown](https://support.google.com/adsense/answer/11988478).
@@ -308,6 +309,7 @@ <h3>Method Details</h3>
308
309
AD_UNIT_SIZE_CODE - The size code of an ad unit (e.g. "728x90", "responsive").
309
310
CUSTOM_CHANNEL_NAME - Custom channel name. The members of this dimension match the values from CustomChannel.display_name.
310
311
CUSTOM_CHANNEL_ID - Unique ID of a custom channel. The members of this dimension match the values from CustomChannel.reporting_dimension_id.
312
+
HOSTED_CUSTOM_CHANNEL_ID - Unique ID of a hosted client's custom channel.
311
313
OWNED_SITE_DOMAIN_NAME - Domain name of a verified site (e.g. "example.com"). The members of this dimension match the values from Site.domain.
312
314
OWNED_SITE_ID - Unique ID of a verified site. The members of this dimension match the values from Site.reporting_dimension_id.
313
315
PAGE_URL - URL of the page upon which the ad was served. This is a complete URL including scheme and query parameters. Note that the URL that appears in this dimension may be a canonicalized version of the one that was used in the original request, and so may not exactly match the URL that a user might have seen. Note that there are also some caveats to be aware of when using this dimension. For more information, see [Page URL breakdown](https://support.google.com/adsense/answer/11988478).
Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.datasets.html
+6-6Lines changed: 6 additions & 6 deletions
Original file line number
Diff line number
Diff line change
@@ -130,7 +130,7 @@ <h3>Method Details</h3>
130
130
"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
131
131
"metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
132
132
"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
133
-
"name": "A String", # Output only. Identifier. The resource name of the Dataset.
133
+
"name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
134
134
"satisfiesPzi": True or False, # Output only. Reserved for future use.
135
135
"satisfiesPzs": True or False, # Output only. Reserved for future use.
136
136
"savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -246,7 +246,7 @@ <h3>Method Details</h3>
246
246
"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
247
247
"metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
248
248
"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
249
-
"name": "A String", # Output only. Identifier. The resource name of the Dataset.
249
+
"name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
250
250
"satisfiesPzi": True or False, # Output only. Reserved for future use.
251
251
"satisfiesPzs": True or False, # Output only. Reserved for future use.
252
252
"savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -304,7 +304,7 @@ <h3>Method Details</h3>
304
304
"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
305
305
"metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
306
306
"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
307
-
"name": "A String", # Output only. Identifier. The resource name of the Dataset.
307
+
"name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
308
308
"satisfiesPzi": True or False, # Output only. Reserved for future use.
309
309
"satisfiesPzs": True or False, # Output only. Reserved for future use.
310
310
"savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -347,7 +347,7 @@ <h3>Method Details</h3>
347
347
<pre>Updates a Dataset.
348
348
349
349
Args:
350
-
name: string, Output only. Identifier. The resource name of the Dataset. (required)
350
+
name: string, Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` (required)
351
351
body: object, The request body.
352
352
The object takes the form of:
353
353
@@ -367,7 +367,7 @@ <h3>Method Details</h3>
367
367
"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
368
368
"metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
369
369
"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
370
-
"name": "A String", # Output only. Identifier. The resource name of the Dataset.
370
+
"name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
371
371
"satisfiesPzi": True or False, # Output only. Reserved for future use.
372
372
"satisfiesPzs": True or False, # Output only. Reserved for future use.
373
373
"savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -412,7 +412,7 @@ <h3>Method Details</h3>
412
412
"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
413
413
"metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
414
414
"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
415
-
"name": "A String", # Output only. Identifier. The resource name of the Dataset.
415
+
"name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
416
416
"satisfiesPzi": True or False, # Output only. Reserved for future use.
417
417
"satisfiesPzs": True or False, # Output only. Reserved for future use.
418
418
"savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
"responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
223
224
"responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -278,7 +279,6 @@ <h3>Method Details</h3>
278
279
"A String",
279
280
],
280
281
"temperature": 3.14, # Optional. Controls the randomness of predictions.
281
-
"tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
282
282
"topK": 3.14, # Optional. If specified, top-k sampling will be used.
283
283
"topP": 3.14, # Optional. If specified, nucleus sampling will be used.
284
284
},
@@ -497,6 +497,7 @@ <h3>Method Details</h3>
497
497
"frequencyPenalty": 3.14, # Optional. Frequency penalties.
"responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
502
503
"responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -557,7 +558,6 @@ <h3>Method Details</h3>
557
558
"A String",
558
559
],
559
560
"temperature": 3.14, # Optional. Controls the randomness of predictions.
560
-
"tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
561
561
"topK": 3.14, # Optional. If specified, top-k sampling will be used.
562
562
"topP": 3.14, # Optional. If specified, nucleus sampling will be used.
563
563
},
@@ -936,6 +936,7 @@ <h3>Method Details</h3>
936
936
"frequencyPenalty": 3.14, # Optional. Frequency penalties.
"responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
941
942
"responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -996,7 +997,6 @@ <h3>Method Details</h3>
996
997
"A String",
997
998
],
998
999
"temperature": 3.14, # Optional. Controls the randomness of predictions.
999
-
"tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
1000
1000
"topK": 3.14, # Optional. If specified, top-k sampling will be used.
1001
1001
"topP": 3.14, # Optional. If specified, nucleus sampling will be used.
0 commit comments