Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in PredictRequest.instances, ExplainRequest.instances and BatchPredictionJob.input_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
parametersSchemaUri
string
Immutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via PredictRequest.parameters, ExplainRequest.parameters and BatchPredictionJob.model_parameters. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
predictionSchemaUri
string
Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via PredictResponse.predictions, ExplainResponse.explanations, and BatchPredictionJob.output_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-27 UTC."],[],[],null,["# PredictSchemata\n\nContains the schemata used in Model's predictions and explanations via [PredictionService.Predict](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints/predict#google.cloud.aiplatform.v1.PredictionService.Predict), [PredictionService.Explain](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints/explain#google.cloud.aiplatform.v1.PredictionService.Explain) and [BatchPredictionJob](/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob).\nFields `instanceSchemaUri` `string` \nImmutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in [PredictRequest.instances](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints/predict#body.request_body.FIELDS.instances), [ExplainRequest.instances](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints/explain#body.request_body.FIELDS.instances) and [BatchPredictionJob.input_config](/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob.FIELDS.input_config). The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.\n`parametersSchemaUri` `string` \nImmutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via [PredictRequest.parameters](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints/predict#body.request_body.FIELDS.parameters), [ExplainRequest.parameters](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints/explain#body.request_body.FIELDS.parameters) and [BatchPredictionJob.model_parameters](/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob.FIELDS.model_parameters). The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.\n`predictionSchemaUri` `string` \nImmutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via [PredictResponse.predictions](/vertex-ai/docs/reference/rest/v1/PredictResponse#FIELDS.predictions), [ExplainResponse.explanations](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints/explain#body.ExplainResponse.FIELDS.explanations), and [BatchPredictionJob.output_config](/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob.FIELDS.output_config). The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access."]]
