# frozen_string_literal: true
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Auto-generated by gapic-generator-ruby. DO NOT EDIT!
module Google
module Cloud
module AIPlatform
module V1
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#upload_model ModelService.UploadModel}.
# @!attribute [rw] parent
# @return [::String]
# Required. The resource name of the Location into which to upload the Model.
# Format: `projects/{project}/locations/{location}`
# @!attribute [rw] parent_model
# @return [::String]
# Optional. The resource name of the model into which to upload the version.
# Only specify this field when uploading a new version.
# @!attribute [rw] model_id
# @return [::String]
# Optional. The ID to use for the uploaded Model, which will become the final
# component of the model resource name.
#
# This value may be up to 63 characters, and valid characters are
# `[a-z0-9_-]`. The first character cannot be a number or hyphen.
# @!attribute [rw] model
# @return [::Google::Cloud::AIPlatform::V1::Model]
# Required. The Model to create.
# @!attribute [rw] service_account
# @return [::String]
# Optional. The user-provided custom service account to use to do the model
# upload. If empty, [Vertex AI Service
# Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
# will be used to access resources needed to upload the model. This account
# must belong to the target project where the model is uploaded to, i.e., the
# project specified in the `parent` field of this request and have necessary
# read permissions (to Google Cloud Storage, Artifact Registry, etc.).
class UploadModelRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Details of
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#upload_model ModelService.UploadModel}
# operation.
# @!attribute [rw] generic_metadata
# @return [::Google::Cloud::AIPlatform::V1::GenericOperationMetadata]
# The common part of the operation metadata.
class UploadModelOperationMetadata
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message of
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#upload_model ModelService.UploadModel}
# operation.
# @!attribute [rw] model
# @return [::String]
# The name of the uploaded Model resource.
# Format: `projects/{project}/locations/{location}/models/{model}`
# @!attribute [r] model_version_id
# @return [::String]
# Output only. The version ID of the model that is uploaded.
class UploadModelResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#get_model ModelService.GetModel}.
# @!attribute [rw] name
# @return [::String]
# Required. The name of the Model resource.
# Format: `projects/{project}/locations/{location}/models/{model}`
#
# In order to retrieve a specific version of the model, also provide
# the version ID or version alias.
# Example: `projects/{project}/locations/{location}/models/{model}@2`
# or
# `projects/{project}/locations/{location}/models/{model}@golden`
# If no version ID or alias is specified, the "default" version will be
# returned. The "default" version alias is created for the first version of
# the model, and can be moved to other versions later on. There will be
# exactly one default version.
class GetModelRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_models ModelService.ListModels}.
# @!attribute [rw] parent
# @return [::String]
# Required. The resource name of the Location to list the Models from.
# Format: `projects/{project}/locations/{location}`
# @!attribute [rw] filter
# @return [::String]
# An expression for filtering the results of the request. For field names
# both snake_case and camelCase are supported.
#
# * `model` supports = and !=. `model` represents the Model ID,
# i.e. the last segment of the Model's [resource
# name][google.cloud.aiplatform.v1.Model.name].
# * `display_name` supports = and !=
# * `labels` supports general map functions that is:
# * `labels.key=value` - key:value equality
# * `labels.key:* or labels:key - key existence
# * A key including a space must be quoted. `labels."a key"`.
# * `base_model_name` only supports =
#
# Some examples:
#
# * `model=1234`
# * `displayName="myDisplayName"`
# * `labels.myKey="myValue"`
# * `baseModelName="text-bison"`
# @!attribute [rw] page_size
# @return [::Integer]
# The standard list page size.
# @!attribute [rw] page_token
# @return [::String]
# The standard list page token.
# Typically obtained via
# {::Google::Cloud::AIPlatform::V1::ListModelsResponse#next_page_token ListModelsResponse.next_page_token}
# of the previous
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_models ModelService.ListModels}
# call.
# @!attribute [rw] read_mask
# @return [::Google::Protobuf::FieldMask]
# Mask specifying which fields to read.
# @!attribute [rw] order_by
# @return [::String]
# A comma-separated list of fields to order by, sorted in ascending order.
# Use "desc" after a field name for descending.
# Supported fields:
#
# * `display_name`
# * `create_time`
# * `update_time`
#
# Example: `display_name, create_time desc`.
class ListModelsRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_models ModelService.ListModels}
# @!attribute [rw] models
# @return [::Array<::Google::Cloud::AIPlatform::V1::Model>]
# List of Models in the requested page.
# @!attribute [rw] next_page_token
# @return [::String]
# A token to retrieve next page of results.
# Pass to
# {::Google::Cloud::AIPlatform::V1::ListModelsRequest#page_token ListModelsRequest.page_token}
# to obtain that page.
class ListModelsResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_versions ModelService.ListModelVersions}.
# @!attribute [rw] name
# @return [::String]
# Required. The name of the model to list versions for.
# @!attribute [rw] page_size
# @return [::Integer]
# The standard list page size.
# @!attribute [rw] page_token
# @return [::String]
# The standard list page token.
# Typically obtained via
# {::Google::Cloud::AIPlatform::V1::ListModelVersionsResponse#next_page_token next_page_token}
# of the previous
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_versions ListModelVersions}
# call.
# @!attribute [rw] filter
# @return [::String]
# An expression for filtering the results of the request. For field names
# both snake_case and camelCase are supported.
#
# * `labels` supports general map functions that is:
# * `labels.key=value` - key:value equality
# * `labels.key:* or labels:key - key existence
# * A key including a space must be quoted. `labels."a key"`.
#
# Some examples:
#
# * `labels.myKey="myValue"`
# @!attribute [rw] read_mask
# @return [::Google::Protobuf::FieldMask]
# Mask specifying which fields to read.
# @!attribute [rw] order_by
# @return [::String]
# A comma-separated list of fields to order by, sorted in ascending order.
# Use "desc" after a field name for descending.
# Supported fields:
#
# * `create_time`
# * `update_time`
#
# Example: `update_time asc, create_time desc`.
class ListModelVersionsRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_versions ModelService.ListModelVersions}
# @!attribute [rw] models
# @return [::Array<::Google::Cloud::AIPlatform::V1::Model>]
# List of Model versions in the requested page.
# In the returned Model name field, version ID instead of regvision tag will
# be included.
# @!attribute [rw] next_page_token
# @return [::String]
# A token to retrieve the next page of results.
# Pass to
# {::Google::Cloud::AIPlatform::V1::ListModelVersionsRequest#page_token ListModelVersionsRequest.page_token}
# to obtain that page.
class ListModelVersionsResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#update_model ModelService.UpdateModel}.
# @!attribute [rw] model
# @return [::Google::Cloud::AIPlatform::V1::Model]
# Required. The Model which replaces the resource on the server.
# When Model Versioning is enabled, the model.name will be used to determine
# whether to update the model or model version.
# 1. model.name with the @ value, e.g. models/123@1, refers to a version
# specific update.
# 2. model.name without the @ value, e.g. models/123, refers to a model
# update.
# 3. model.name with @-, e.g. models/123@-, refers to a model update.
# 4. Supported model fields: display_name, description; supported
# version-specific fields: version_description. Labels are supported in both
# scenarios. Both the model labels and the version labels are merged when a
# model is returned. When updating labels, if the request is for
# model-specific update, model label gets updated. Otherwise, version labels
# get updated.
# 5. A model name or model version name fields update mismatch will cause a
# precondition error.
# 6. One request cannot update both the model and the version fields. You
# must update them separately.
# @!attribute [rw] update_mask
# @return [::Google::Protobuf::FieldMask]
# Required. The update mask applies to the resource.
# For the `FieldMask` definition, see
# {::Google::Protobuf::FieldMask google.protobuf.FieldMask}.
class UpdateModelRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#update_explanation_dataset ModelService.UpdateExplanationDataset}.
# @!attribute [rw] model
# @return [::String]
# Required. The resource name of the Model to update.
# Format: `projects/{project}/locations/{location}/models/{model}`
# @!attribute [rw] examples
# @return [::Google::Cloud::AIPlatform::V1::Examples]
# The example config containing the location of the dataset.
class UpdateExplanationDatasetRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Runtime operation information for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#update_explanation_dataset ModelService.UpdateExplanationDataset}.
# @!attribute [rw] generic_metadata
# @return [::Google::Cloud::AIPlatform::V1::GenericOperationMetadata]
# The common part of the operation metadata.
class UpdateExplanationDatasetOperationMetadata
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#delete_model ModelService.DeleteModel}.
# @!attribute [rw] name
# @return [::String]
# Required. The name of the Model resource to be deleted.
# Format: `projects/{project}/locations/{location}/models/{model}`
class DeleteModelRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#delete_model_version ModelService.DeleteModelVersion}.
# @!attribute [rw] name
# @return [::String]
# Required. The name of the model version to be deleted, with a version ID
# explicitly included.
#
# Example: `projects/{project}/locations/{location}/models/{model}@1234`
class DeleteModelVersionRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#merge_version_aliases ModelService.MergeVersionAliases}.
# @!attribute [rw] name
# @return [::String]
# Required. The name of the model version to merge aliases, with a version ID
# explicitly included.
#
# Example: `projects/{project}/locations/{location}/models/{model}@1234`
# @!attribute [rw] version_aliases
# @return [::Array<::String>]
# Required. The set of version aliases to merge.
# The alias should be at most 128 characters, and match
# `[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]`.
# Add the `-` prefix to an alias means removing that alias from the version.
# `-` is NOT counted in the 128 characters. Example: `-golden` means removing
# the `golden` alias from the version.
#
# There is NO ordering in aliases, which means
# 1) The aliases returned from GetModel API might not have the exactly same
# order from this MergeVersionAliases API. 2) Adding and deleting the same
# alias in the request is not recommended, and the 2 operations will be
# cancelled out.
class MergeVersionAliasesRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#export_model ModelService.ExportModel}.
# @!attribute [rw] name
# @return [::String]
# Required. The resource name of the Model to export.
# The resource name may contain version id or version alias to specify the
# version, if no version is specified, the default version will be exported.
# @!attribute [rw] output_config
# @return [::Google::Cloud::AIPlatform::V1::ExportModelRequest::OutputConfig]
# Required. The desired output location and configuration.
class ExportModelRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
# Output configuration for the Model export.
# @!attribute [rw] export_format_id
# @return [::String]
# The ID of the format in which the Model must be exported. Each Model
# lists the [export formats it
# supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
# no value is provided here, then the first from the list of the Model's
# supported formats is used by default.
# @!attribute [rw] artifact_destination
# @return [::Google::Cloud::AIPlatform::V1::GcsDestination]
# The Cloud Storage location where the Model artifact is to be
# written to. Under the directory given as the destination a new one with
# name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
# where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
# will be created. Inside, the Model and any of its supporting files
# will be written.
# This field should only be set when the `exportableContent` field of the
# [Model.supported_export_formats] object contains `ARTIFACT`.
# @!attribute [rw] image_destination
# @return [::Google::Cloud::AIPlatform::V1::ContainerRegistryDestination]
# The Google Container Registry or Artifact Registry uri where the
# Model container image will be copied to.
# This field should only be set when the `exportableContent` field of the
# [Model.supported_export_formats] object contains `IMAGE`.
class OutputConfig
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
end
# Details of
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#export_model ModelService.ExportModel}
# operation.
# @!attribute [rw] generic_metadata
# @return [::Google::Cloud::AIPlatform::V1::GenericOperationMetadata]
# The common part of the operation metadata.
# @!attribute [r] output_info
# @return [::Google::Cloud::AIPlatform::V1::ExportModelOperationMetadata::OutputInfo]
# Output only. Information further describing the output of this Model
# export.
class ExportModelOperationMetadata
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
# Further describes the output of the ExportModel. Supplements
# {::Google::Cloud::AIPlatform::V1::ExportModelRequest::OutputConfig ExportModelRequest.OutputConfig}.
# @!attribute [r] artifact_output_uri
# @return [::String]
# Output only. If the Model artifact is being exported to Google Cloud
# Storage this is the full path of the directory created, into which the
# Model files are being written to.
# @!attribute [r] image_output_uri
# @return [::String]
# Output only. If the Model image is being exported to Google Container
# Registry or Artifact Registry this is the full path of the image created.
class OutputInfo
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
end
# Response message of
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#update_explanation_dataset ModelService.UpdateExplanationDataset}
# operation.
class UpdateExplanationDatasetResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message of
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#export_model ModelService.ExportModel}
# operation.
class ExportModelResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#copy_model ModelService.CopyModel}.
# @!attribute [rw] model_id
# @return [::String]
# Optional. Copy source_model into a new Model with this ID. The ID will
# become the final component of the model resource name.
#
# This value may be up to 63 characters, and valid characters are
# `[a-z0-9_-]`. The first character cannot be a number or hyphen.
# @!attribute [rw] parent_model
# @return [::String]
# Optional. Specify this field to copy source_model into this existing
# Model as a new version. Format:
# `projects/{project}/locations/{location}/models/{model}`
# @!attribute [rw] parent
# @return [::String]
# Required. The resource name of the Location into which to copy the Model.
# Format: `projects/{project}/locations/{location}`
# @!attribute [rw] source_model
# @return [::String]
# Required. The resource name of the Model to copy. That Model must be in the
# same Project. Format:
# `projects/{project}/locations/{location}/models/{model}`
# @!attribute [rw] encryption_spec
# @return [::Google::Cloud::AIPlatform::V1::EncryptionSpec]
# Customer-managed encryption key options. If this is set,
# then the Model copy will be encrypted with the provided encryption key.
class CopyModelRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Details of
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#copy_model ModelService.CopyModel}
# operation.
# @!attribute [rw] generic_metadata
# @return [::Google::Cloud::AIPlatform::V1::GenericOperationMetadata]
# The common part of the operation metadata.
class CopyModelOperationMetadata
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message of
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#copy_model ModelService.CopyModel}
# operation.
# @!attribute [rw] model
# @return [::String]
# The name of the copied Model resource.
# Format: `projects/{project}/locations/{location}/models/{model}`
# @!attribute [r] model_version_id
# @return [::String]
# Output only. The version ID of the model that is copied.
class CopyModelResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#import_model_evaluation ModelService.ImportModelEvaluation}
# @!attribute [rw] parent
# @return [::String]
# Required. The name of the parent model resource.
# Format: `projects/{project}/locations/{location}/models/{model}`
# @!attribute [rw] model_evaluation
# @return [::Google::Cloud::AIPlatform::V1::ModelEvaluation]
# Required. Model evaluation resource to be imported.
class ImportModelEvaluationRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#batch_import_model_evaluation_slices ModelService.BatchImportModelEvaluationSlices}
# @!attribute [rw] parent
# @return [::String]
# Required. The name of the parent ModelEvaluation resource.
# Format:
# `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
# @!attribute [rw] model_evaluation_slices
# @return [::Array<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice>]
# Required. Model evaluation slice resource to be imported.
class BatchImportModelEvaluationSlicesRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#batch_import_model_evaluation_slices ModelService.BatchImportModelEvaluationSlices}
# @!attribute [r] imported_model_evaluation_slices
# @return [::Array<::String>]
# Output only. List of imported
# {::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice#name ModelEvaluationSlice.name}.
class BatchImportModelEvaluationSlicesResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#batch_import_evaluated_annotations ModelService.BatchImportEvaluatedAnnotations}
# @!attribute [rw] parent
# @return [::String]
# Required. The name of the parent ModelEvaluationSlice resource.
# Format:
# `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
# @!attribute [rw] evaluated_annotations
# @return [::Array<::Google::Cloud::AIPlatform::V1::EvaluatedAnnotation>]
# Required. Evaluated annotations resource to be imported.
class BatchImportEvaluatedAnnotationsRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#batch_import_evaluated_annotations ModelService.BatchImportEvaluatedAnnotations}
# @!attribute [r] imported_evaluated_annotations_count
# @return [::Integer]
# Output only. Number of EvaluatedAnnotations imported.
class BatchImportEvaluatedAnnotationsResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#get_model_evaluation ModelService.GetModelEvaluation}.
# @!attribute [rw] name
# @return [::String]
# Required. The name of the ModelEvaluation resource.
# Format:
# `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
class GetModelEvaluationRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluations ModelService.ListModelEvaluations}.
# @!attribute [rw] parent
# @return [::String]
# Required. The resource name of the Model to list the ModelEvaluations from.
# Format: `projects/{project}/locations/{location}/models/{model}`
# @!attribute [rw] filter
# @return [::String]
# The standard list filter.
# @!attribute [rw] page_size
# @return [::Integer]
# The standard list page size.
# @!attribute [rw] page_token
# @return [::String]
# The standard list page token.
# Typically obtained via
# {::Google::Cloud::AIPlatform::V1::ListModelEvaluationsResponse#next_page_token ListModelEvaluationsResponse.next_page_token}
# of the previous
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluations ModelService.ListModelEvaluations}
# call.
# @!attribute [rw] read_mask
# @return [::Google::Protobuf::FieldMask]
# Mask specifying which fields to read.
class ListModelEvaluationsRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluations ModelService.ListModelEvaluations}.
# @!attribute [rw] model_evaluations
# @return [::Array<::Google::Cloud::AIPlatform::V1::ModelEvaluation>]
# List of ModelEvaluations in the requested page.
# @!attribute [rw] next_page_token
# @return [::String]
# A token to retrieve next page of results.
# Pass to
# {::Google::Cloud::AIPlatform::V1::ListModelEvaluationsRequest#page_token ListModelEvaluationsRequest.page_token}
# to obtain that page.
class ListModelEvaluationsResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#get_model_evaluation_slice ModelService.GetModelEvaluationSlice}.
# @!attribute [rw] name
# @return [::String]
# Required. The name of the ModelEvaluationSlice resource.
# Format:
# `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
class GetModelEvaluationSliceRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Request message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluation_slices ModelService.ListModelEvaluationSlices}.
# @!attribute [rw] parent
# @return [::String]
# Required. The resource name of the ModelEvaluation to list the
# ModelEvaluationSlices from. Format:
# `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
# @!attribute [rw] filter
# @return [::String]
# The standard list filter.
#
# * `slice.dimension` - for =.
# @!attribute [rw] page_size
# @return [::Integer]
# The standard list page size.
# @!attribute [rw] page_token
# @return [::String]
# The standard list page token.
# Typically obtained via
# {::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesResponse#next_page_token ListModelEvaluationSlicesResponse.next_page_token}
# of the previous
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluation_slices ModelService.ListModelEvaluationSlices}
# call.
# @!attribute [rw] read_mask
# @return [::Google::Protobuf::FieldMask]
# Mask specifying which fields to read.
class ListModelEvaluationSlicesRequest
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
# Response message for
# {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluation_slices ModelService.ListModelEvaluationSlices}.
# @!attribute [rw] model_evaluation_slices
# @return [::Array<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice>]
# List of ModelEvaluations in the requested page.
# @!attribute [rw] next_page_token
# @return [::String]
# A token to retrieve next page of results.
# Pass to
# {::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesRequest#page_token ListModelEvaluationSlicesRequest.page_token}
# to obtain that page.
class ListModelEvaluationSlicesResponse
include ::Google::Protobuf::MessageExts
extend ::Google::Protobuf::MessageExts::ClassMethods
end
end
end
end
end