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In this article:

  • gRPC request
  • CreateMlModelRequest
  • operation.Operation
  • CreateMlModelMetadata
  • MlModel
  1. API reference
  2. gRPC
  3. MlModel
  4. Create

Managed Service for ClickHouse API, gRPC: MlModelService.Create

Written by
Yandex Cloud
Updated at November 26, 2024
  • gRPC request
  • CreateMlModelRequest
  • operation.Operation
  • CreateMlModelMetadata
  • MlModel

Creates a machine learning model in the specified cluster.

gRPC requestgRPC request

rpc Create (CreateMlModelRequest) returns (operation.Operation)

CreateMlModelRequestCreateMlModelRequest

{
  "cluster_id": "string",
  "ml_model_name": "string",
  "type": "MlModelType",
  "uri": "string"
}

Field

Description

cluster_id

string

Required field. ID of the cluster to create a model in.

To get a cluster ID make a ClusterService.List request.

ml_model_name

string

Required field. Model name. The model name is one of the arguments of the modelEvaluate() function, which is used to call the model in ClickHouse.

type

enum MlModelType

Required field. Type of the model.

  • ML_MODEL_TYPE_UNSPECIFIED
  • ML_MODEL_TYPE_CATBOOST: CatBoost model.

uri

string

Required field. Model file URL. You can only use models stored in Object Storage.

operation.Operationoperation.Operation

{
  "id": "string",
  "description": "string",
  "created_at": "google.protobuf.Timestamp",
  "created_by": "string",
  "modified_at": "google.protobuf.Timestamp",
  "done": "bool",
  "metadata": {
    "cluster_id": "string",
    "ml_model_name": "string"
  },
  // Includes only one of the fields `error`, `response`
  "error": "google.rpc.Status",
  "response": {
    "name": "string",
    "cluster_id": "string",
    "type": "MlModelType",
    "uri": "string"
  }
  // end of the list of possible fields
}

An Operation resource. For more information, see Operation.

Field

Description

id

string

ID of the operation.

description

string

Description of the operation. 0-256 characters long.

created_at

google.protobuf.Timestamp

Creation timestamp.

created_by

string

ID of the user or service account who initiated the operation.

modified_at

google.protobuf.Timestamp

The time when the Operation resource was last modified.

done

bool

If the value is false, it means the operation is still in progress.
If true, the operation is completed, and either error or response is available.

metadata

CreateMlModelMetadata

Service-specific metadata associated with the operation.
It typically contains the ID of the target resource that the operation is performed on.
Any method that returns a long-running operation should document the metadata type, if any.

error

google.rpc.Status

The error result of the operation in case of failure or cancellation.

Includes only one of the fields error, response.

The operation result.
If done == false and there was no failure detected, neither error nor response is set.
If done == false and there was a failure detected, error is set.
If done == true, exactly one of error or response is set.

response

MlModel

The normal response of the operation in case of success.
If the original method returns no data on success, such as Delete,
the response is google.protobuf.Empty.
If the original method is the standard Create/Update,
the response should be the target resource of the operation.
Any method that returns a long-running operation should document the response type, if any.

Includes only one of the fields error, response.

The operation result.
If done == false and there was no failure detected, neither error nor response is set.
If done == false and there was a failure detected, error is set.
If done == true, exactly one of error or response is set.

CreateMlModelMetadataCreateMlModelMetadata

Field

Description

cluster_id

string

ID of the cluster that a model is being added to.

ml_model_name

string

Name of the the model that is being created.

MlModelMlModel

Field

Description

name

string

Name of the the model.

cluster_id

string

ID of the ClickHouse cluster that the model belongs to.

type

enum MlModelType

Type of the model.

  • ML_MODEL_TYPE_UNSPECIFIED
  • ML_MODEL_TYPE_CATBOOST: CatBoost model.

uri

string

Model file URL. You can only use models stored in Object Storage.

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