Searched +full:vertex +full:- +full:ai (Results 1 – 25 of 441) sorted by relevance
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| /external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ |
| D | ModelContainerSpecOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
34 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
35 * including permissions requirements for the Vertex AI Service Agent.
41 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
42 * You can use the URI to one of Vertex AI's [pre-built container images for
43 * prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
62 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
63 * including permissions requirements for the Vertex AI Service Agent.
69 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
70 * You can use the URI to one of Vertex AI's [pre-built container images for
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| D | ModelContainerSpec.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
27 …ification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
90 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
91 * including permissions requirements for the Vertex AI Service Agent.
97 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
98 * You can use the URI to one of Vertex AI's [pre-built container images for
99 * prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
129 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
130 * including permissions requirements for the Vertex AI Service Agent.
136 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
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| D | MigrateResourceRequestOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
30 * Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
44 * Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
59 * Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
73 * Config for migrating Model in automl.googleapis.com to Vertex AI's
88 * Config for migrating Model in automl.googleapis.com to Vertex AI's
104 * Config for migrating Model in automl.googleapis.com to Vertex AI's
119 * Config for migrating Dataset in automl.googleapis.com to Vertex AI's
134 * Config for migrating Dataset in automl.googleapis.com to Vertex AI's
150 * Config for migrating Dataset in automl.googleapis.com to Vertex AI's
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| D | ExplanationMetadataOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
35 * The baseline of the empty feature is chosen by Vertex AI.
36 * For Vertex AI-provided Tensorflow images, the key can be any friendly
58 * The baseline of the empty feature is chosen by Vertex AI.
59 * For Vertex AI-provided Tensorflow images, the key can be any friendly
85 * The baseline of the empty feature is chosen by Vertex AI.
86 * For Vertex AI-provided Tensorflow images, the key can be any friendly
109 * The baseline of the empty feature is chosen by Vertex AI.
110 * For Vertex AI-provided Tensorflow images, the key can be any friendly
136 * The baseline of the empty feature is chosen by Vertex AI.
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| D | CustomJobSpecOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
137 * Specifies the service account for workload run-as account.
138 * Users submitting jobs must have act-as permission on this run-as account.
139 * If unspecified, the [Vertex AI Custom Code Service
140 * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
153 * Specifies the service account for workload run-as account.
154 * Users submitting jobs must have act-as permission on this run-as account.
155 * If unspecified, the [Vertex AI Custom Code Service
156 * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
171 * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
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| /external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ |
| D | ModelContainerSpecOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
34 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
35 * including permissions requirements for the Vertex AI Service Agent.
41 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
42 * You can use the URI to one of Vertex AI's [pre-built container images for
43 * prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
62 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
63 * including permissions requirements for the Vertex AI Service Agent.
69 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
70 * You can use the URI to one of Vertex AI's [pre-built container images for
[all …]
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| D | ModelContainerSpec.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
27 …ification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
90 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
91 * including permissions requirements for the Vertex AI Service Agent.
97 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
98 * You can use the URI to one of Vertex AI's [pre-built container images for
99 * prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
129 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
130 * including permissions requirements for the Vertex AI Service Agent.
136 …* requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#…
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| D | MigrateResourceRequestOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
30 * Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
44 * Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
59 * Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
74 * Config for migrating Model in automl.googleapis.com to Vertex AI's
89 * Config for migrating Model in automl.googleapis.com to Vertex AI's
105 * Config for migrating Model in automl.googleapis.com to Vertex AI's
120 * Config for migrating Dataset in automl.googleapis.com to Vertex AI's
135 * Config for migrating Dataset in automl.googleapis.com to Vertex AI's
151 * Config for migrating Dataset in automl.googleapis.com to Vertex AI's
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| D | ExplanationMetadataOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
35 * The baseline of the empty feature is chosen by Vertex AI.
36 * For Vertex AI-provided Tensorflow images, the key can be any friendly
58 * The baseline of the empty feature is chosen by Vertex AI.
59 * For Vertex AI-provided Tensorflow images, the key can be any friendly
86 * The baseline of the empty feature is chosen by Vertex AI.
87 * For Vertex AI-provided Tensorflow images, the key can be any friendly
111 * The baseline of the empty feature is chosen by Vertex AI.
112 * For Vertex AI-provided Tensorflow images, the key can be any friendly
138 * The baseline of the empty feature is chosen by Vertex AI.
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| D | CustomJobSpecOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
138 * Specifies the service account for workload run-as account.
139 * Users submitting jobs must have act-as permission on this run-as account.
140 * If unspecified, the [Vertex AI Custom Code Service
141 * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
154 * Specifies the service account for workload run-as account.
155 * Users submitting jobs must have act-as permission on this run-as account.
156 * If unspecified, the [Vertex AI Custom Code Service
157 * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
172 * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
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| /external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/ |
| D | migration_service.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
37 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
41 "https://www.googleapis.com/auth/cloud-platform";
45 // Vertex AI's given location.
56 // and datalabeling.googleapis.com to Vertex AI.
75 // from. It's the Vertex AI location that the resources can be migrated to,
115 // The standard next-page token.
141 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
143 // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
150 // * us-centrall-ml.googleapis.com
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| D | model.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
71 // * `edgetpu-tflite`
72 // Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
74 // * `tf-saved-model`
77 // * `tf-js`
81 // * `core-ml`
84 // * `custom-trained`
116 // Resources that to large degree are decided by Vertex AI, and require
122 // pre-configured
133 // trained under an existing model id. It is an auto-incrementing decimal
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| D | custom_job.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
52 // The name can be up to 128 characters long and can consist of any UTF-8
84 // The labels with user-defined metadata to organize CustomJobs.
93 // Customer-managed encryption key options for a CustomJob. If this is set,
99 // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
105 // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
106 // the second worker pool, and `workerpool1-1` for the second node in the
125 // Specifies the service account for workload run-as account.
126 // Users submitting jobs must have act-as permission on this run-as account.
127 // If unspecified, the [Vertex AI Custom Code Service
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| /external/googleapis/google/cloud/aiplatform/v1beta1/ |
| D | migration_service.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
37 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
41 "https://www.googleapis.com/auth/cloud-platform";
45 // Vertex AI's given location.
56 // and datalabeling.googleapis.com to Vertex AI.
75 // from. It's the Vertex AI location that the resources can be migrated to,
115 // The standard next-page token.
141 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
143 // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
150 // * us-centrall-ml.googleapis.com
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| D | model_monitor.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
33 // Vertex AI Model Monitoring Service serves as a central hub for the analysis
44 // e.g. Vertex AI Model version.
46 // Model in Vertex AI Model Registry.
59 // Model in Vertex AI Model Registry.
76 // The name can be up to 128 characters long and can consist of any UTF-8.
80 // Currently only models in Vertex AI Model Registry are supported. If you
81 // want to analyze the model which is outside the Vertex AI, you could
82 // register a model in Vertex AI Model Registry using just a display name.
108 // It is required for most models, but optional for Vertex AI AutoML Tables
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| D | model.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
72 // * `edgetpu-tflite`
73 // Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
75 // * `tf-saved-model`
78 // * `tf-js`
82 // * `core-ml`
85 // * `custom-trained`
129 // Resources that to large degree are decided by Vertex AI, and require
135 // pre-configured
146 // trained under an existing model id. It is an auto-incrementing decimal
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| D | extension.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
99 // The name can be up to 128 characters long and can consist of any UTF-8
114 // Optional. Used to perform consistent read-modify-write updates. If not set,
137 // (https://cloud.google.com/service-directory/docs/configuring-private-network-access).
209 // - If specified, the `secretmanager.versions.access` permission should be
210 // granted to Vertex AI Extension Service Agent
211 // (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
231 // - If specified, the `secretmanager.versions.access` permission should be
232 // granted to Vertex AI Extension Service Agent
233 // (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
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| D | feature.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
75 // Only applicable for Vertex AI Legacy Feature Store.
115 // 64 characters long and can consist only of ASCII Latin letters A-Z and a-z,
116 // underscore(_), and ASCII digits 0-9 starting with a letter. The value will
123 // Immutable. Only applicable for Vertex AI Feature Store (Legacy).
127 // Output only. Only applicable for Vertex AI Feature Store (Legacy).
132 // Output only. Only applicable for Vertex AI Feature Store (Legacy).
137 // Optional. The labels with user-defined metadata to organize your Features.
150 // Used to perform a consistent read-modify-write updates. If not set, a blind
154 // Optional. Only applicable for Vertex AI Feature Store (Legacy).
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| /external/googleapis/google/cloud/aiplatform/v1/ |
| D | migration_service.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
37 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
41 "https://www.googleapis.com/auth/cloud-platform";
45 // Vertex AI's given location.
56 // and datalabeling.googleapis.com to Vertex AI.
75 // from. It's the Vertex AI location that the resources can be migrated to,
114 // The standard next-page token.
140 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
142 // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
149 // * us-centrall-ml.googleapis.com
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| D | model.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
72 // * `edgetpu-tflite`
73 // Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
75 // * `tf-saved-model`
78 // * `tf-js`
82 // * `core-ml`
85 // * `custom-trained`
158 // Resources that to large degree are decided by Vertex AI, and require
164 // pre-configured
175 // trained under an existing model id. It is an auto-incrementing decimal
[all …]
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| /external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/ |
| D | migration_service.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
37 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
41 "https://www.googleapis.com/auth/cloud-platform";
45 // Vertex AI's given location.
56 // and datalabeling.googleapis.com to Vertex AI.
75 // from. It's the Vertex AI location that the resources can be migrated to,
114 // The standard next-page token.
140 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
142 // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
149 // * us-centrall-ml.googleapis.com
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| D | model.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
71 // * `edgetpu-tflite`
72 // Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
74 // * `tf-saved-model`
77 // * `tf-js`
81 // * `core-ml`
84 // * `custom-trained`
116 // Resources that to large degree are decided by Vertex AI, and require
122 // pre-configured [DeploymentResourcePool][] is required.
131 // trained under an existing model id. It is an auto-incrementing decimal
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| D | custom_job.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
52 // The name can be up to 128 characters long and can consist of any UTF-8
84 // The labels with user-defined metadata to organize CustomJobs.
93 // Customer-managed encryption key options for a CustomJob. If this is set,
99 // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
105 // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
106 // the second worker pool, and `workerpool1-1` for the second node in the
125 // Specifies the service account for workload run-as account.
126 // Users submitting jobs must have act-as permission on this run-as account.
127 // If unspecified, the [Vertex AI Custom Code Service
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| /external/google-cloud-java/java-automl/ |
| D | .readme-partials.yaml | 2 �� **AutoML API Java Client is now available in Vertex AI. Please visit**
3 …[java-aiplatform](https://github.com/googleapis/java-aiplatform) **for the new Java Vertex AI clie…
4 …Vertex AI is our next generation AI Platform, with many new features that are unavailable in the c…
5 …[Migrate your resources to Vertex AI](https://cloud.google.com/vertex-ai/docs/start/migrating-to-v…
6 …the latest machine learning features, simplify end-to-end journeys, and productionize models with …
15 … client library docs](https://cloud.google.com/java/docs/reference/google-cloud-automl/latest/over…
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| /external/google-cloud-java/java-aiplatform/ |
| D | README.md | 1 # Google Vertex AI Client for Java
3 Java idiomatic client for [Vertex AI][product-docs].
5 [![Maven][maven-version-image]][maven-version-link]
6 ![Stability][stability-image]
8 - [Product Documentation][product-docs]
9 - [Client Library Documentation][javadocs]
15 If you are using Maven with [BOM][libraries-bom], add this to your pom.xml file:
22 <artifactId>libraries-bom</artifactId>
33 <artifactId>google-cloud-aiplatform</artifactId>
39 <!-- {x-version-update-start:google-cloud-aiplatform:released} -->
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