Model Registry

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Create and manage experiments, features, and other machine learning artifacts

List Transition Requests GA

GET /api/2.0/mlflow/transition-requests/list

Gets a list of all open stage transition requests for the model version.

API scopes: mlflow

Parameters

namestringquery: Name of the registered model.
Example: search_ads_model

versionstringquery: Version of the model.
Example: 1

Response

requestsarray of object

Array of open transition requests.

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

View as Markdown

Response

{
  "requests": [
    {
      "creation_timestamp": 1594437249910,
      "user_id": "jane.doe@example.com",
      "activity_type": "string",
      "comment": "This version is great!",
      "last_updated_timestamp": 1594437549910,
      "from_stage": "string",
      "to_stage": "string",
      "system_comment": "string",
      "available_actions": [
        "string"
      ],
      "id": "6fc74c92704341aaa49e74dcc6031057"
    }
  ]
}

Approve Transition Request GA

POST /api/2.0/mlflow/transition-requests/approve

Approves a model version stage transition request.

API scopes: mlflow

Request body

namestring: Name of the model.
Example: search_ads_model
Constraints: [ 1 .. 100 ] characters

versionstring: Version of the model.
Example: 1

stagestring

Target stage of the transition. Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

archive_existing_versionsboolean: Specifies whether to archive all current model versions in the target stage.
Example: true

commentstring: User-provided comment on the action.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

Response

activityobject

New activity generated as a result of this operation.

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

View as Markdown

Request

{
  "name": "search_ads_model",
  "version": "1",
  "stage": "string",
  "archive_existing_versions": true,
  "comment": "This version is great!"
}

Response

{
  "activity": {
    "creation_timestamp": 1594437249910,
    "user_id": "jane.doe@example.com",
    "activity_type": "string",
    "comment": "This version is great!",
    "last_updated_timestamp": 1594437549910,
    "from_stage": "string",
    "to_stage": "string",
    "system_comment": "string",
    "available_actions": [
      "string"
    ],
    "id": "6fc74c92704341aaa49e74dcc6031057"
  }
}

Create Comment GA

POST /api/2.0/mlflow/comments/create

Posts a comment on a model version. A comment can be submitted either by a user or programmatically to display relevant information about the model. For example, test results or deployment errors.

API scopes: mlflow

Request body

namestring: Name of the model.
Example: search_ads_model
Constraints: [ 1 .. 100 ] characters

versionstring: Version of the model.
Example: 1

commentstring: User-provided comment on the action.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

Response

commentobject

New comment object

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

View as Markdown

Request

{
  "name": "search_ads_model",
  "version": "1",
  "comment": "This version is great!"
}

Response

{
  "comment": {
    "available_actions": [
      "EDIT_COMMENT"
    ],
    "comment": "This version is great!",
    "creation_timestamp": 1594437249910,
    "id": "6fc74c92704341aaa49e74dcc6031057",
    "last_updated_timestamp": 1594437549910,
    "user_id": "jane.doe@example.com"
  }
}

Create Transition Request GA

POST /api/2.0/mlflow/transition-requests/create

Creates a model version stage transition request.

API scopes: mlflow

Request body

namestring: Name of the model.
Example: search_ads_model
Constraints: [ 1 .. 100 ] characters

versionstring: Version of the model.
Example: 1

stagestring

Target stage of the transition. Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

commentstring: User-provided comment on the action.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

Response

requestobject

New activity generated for stage transition request.

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

View as Markdown

Request

{
  "name": "search_ads_model",
  "version": "1",
  "stage": "string",
  "comment": "This version is great!"
}

Response

{
  "request": {
    "creation_timestamp": 1594437249910,
    "user_id": "jane.doe@example.com",
    "activity_type": "string",
    "comment": "This version is great!",
    "last_updated_timestamp": 1594437549910,
    "from_stage": "string",
    "to_stage": "string",
    "system_comment": "string",
    "available_actions": [
      "string"
    ],
    "id": "6fc74c92704341aaa49e74dcc6031057"
  }
}

Delete Comment GA

DELETE /api/2.0/mlflow/comments/delete

Deletes a comment on a model version.

API scopes: mlflow

Parameters

idstringquery: Unique identifier of an activity
Example: 6fc74c92704341aaa49e74dcc6031057

Delete Transition Request GA

DELETE /api/2.0/mlflow/transition-requests/delete

Cancels a model version stage transition request.

API scopes: mlflow

Parameters

namestringquery: Name of the model.
Example: search_ads_model

versionstringquery: Version of the model.
Example: 1

stagestringquery

Target stage of the transition request. Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

Example: Staging

creatorstringquery: Username of the user who created this request. Of the transition requests matching the specified details, only the one transition created by this user will be deleted.
Example: jane.doe@example.com

commentstringquery: User-provided comment on the action.
Example: This version is great!

Response

activityobject

New activity generated as a result of this operation.

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

View as Markdown

Response

{
  "activity": {
    "creation_timestamp": 1594437249910,
    "user_id": "jane.doe@example.com",
    "activity_type": "string",
    "comment": "This version is great!",
    "last_updated_timestamp": 1594437549910,
    "from_stage": "string",
    "to_stage": "string",
    "system_comment": "string",
    "available_actions": [
      "string"
    ],
    "id": "6fc74c92704341aaa49e74dcc6031057"
  }
}

Get Registered Model Databricks GA

GET /api/2.0/mlflow/databricks/registered-models/get

Get the details of a model. This is a <Databricks> workspace version of the MLflow endpoint that also returns the model's <Databricks> workspace ID and the permission level of the requesting user on the model.

API scopes: mlflow

Parameters

namestringquery: Registered model unique name identifier.

Response

registered_model_databricksobject

Show child attributesHide child attributes

namestring: Name of the model.
Example: search_ads_model
Constraints: [ 1 .. 100 ] characters

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

last_updated_timestampint64: Last update time of the object, as a Unix timestamp in milliseconds.
Example: 1594437549910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

descriptionstring: User-specified description for the object.
Example: Here's some extra info.
Constraints: <= 65535 characters

latest_versionsarray of object

Array of model versions, each the latest version for its stage.

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

permission_levelstring: Permission level granted for the requesting user on this registered model
Values: CAN_MANAGE, CAN_EDIT, CAN_READ, CAN_MANAGE_STAGING_VERSIONS, CAN_MANAGE_PRODUCTION_VERSIONS, CAN_CREATE_REGISTERED_MODEL

tagsarray of object

Array of tags associated with the model.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

View as Markdown

Response

{
  "registered_model_databricks": {
    "name": "search_ads_model",
    "creation_timestamp": 1594437249910,
    "last_updated_timestamp": 1594437549910,
    "user_id": "jane.doe@example.com",
    "description": "Here's some extra info.",
    "latest_versions": [
      {}
    ],
    "id": "6fc74c92704341aaa49e74dcc6031057",
    "permission_level": "string",
    "tags": [
      {}
    ]
  }
}

Reject Transition Request GA

POST /api/2.0/mlflow/transition-requests/reject

Rejects a model version stage transition request.

API scopes: mlflow

Request body

namestring: Name of the model.
Example: search_ads_model
Constraints: [ 1 .. 100 ] characters

versionstring: Version of the model.
Example: 1

stagestring

Target stage of the transition. Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

commentstring: User-provided comment on the action.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

Response

activityobject

New activity generated as a result of this operation.

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

View as Markdown

Request

{
  "name": "search_ads_model",
  "version": "1",
  "stage": "string",
  "comment": "This version is great!"
}

Response

{
  "activity": {
    "creation_timestamp": 1594437249910,
    "user_id": "jane.doe@example.com",
    "activity_type": "string",
    "comment": "This version is great!",
    "last_updated_timestamp": 1594437549910,
    "from_stage": "string",
    "to_stage": "string",
    "system_comment": "string",
    "available_actions": [
      "string"
    ],
    "id": "6fc74c92704341aaa49e74dcc6031057"
  }
}

Test Registry Webhook GA

POST /api/2.0/mlflow/registry-webhooks/test

NOTE: This endpoint is in Public Preview. Tests a registry webhook.

API scopes: mlflow

Request body

idstring: Webhook ID
Example: 124323

eventstring: If event is specified, the test trigger uses the specified event. If event is not specified, the test trigger uses a randomly chosen event associated with the webhook.
Values: MODEL_VERSION_CREATED, MODEL_VERSION_TRANSITIONED_STAGE, TRANSITION_REQUEST_CREATED, COMMENT_CREATED, REGISTERED_MODEL_CREATED, MODEL_VERSION_TAG_SET, MODEL_VERSION_TRANSITIONED_TO_STAGING, MODEL_VERSION_TRANSITIONED_TO_PRODUCTION, MODEL_VERSION_TRANSITIONED_TO_ARCHIVED, TRANSITION_REQUEST_TO_STAGING_CREATED, TRANSITION_REQUEST_TO_PRODUCTION_CREATED, TRANSITION_REQUEST_TO_ARCHIVED_CREATED

Response

status_codeint32: Status code returned by the webhook URL
Example: 200

bodystring: Body of the response from the webhook URL
Example: OK

Transition Model Version Stage Databricks GA

POST /api/2.0/mlflow/databricks/model-versions/transition-stage

Transition a model version's stage. This is a <Databricks> workspace version of the MLflow endpoint that also accepts a comment associated with the transition to be recorded.

API scopes: mlflow

Request body

namestring: Name of the model.
Example: search_ads_model
Constraints: [ 1 .. 100 ] characters

versionstring: Version of the model.
Example: 1

stagestring

Target stage of the transition. Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

archive_existing_versionsboolean: Specifies whether to archive all current model versions in the target stage.
Example: true

commentstring: User-provided comment on the action.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

Response

model_version_databricksobject

Updated model version

Show child attributesHide child attributes

namestring: Name of the model.
Example: search_ads_model
Constraints: [ 1 .. 100 ] characters

versionstring: Version of the model.
Example: 1

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

current_stagestring

descriptionstring: User-specified description for the object.
Example: Here's some extra info.
Constraints: <= 65535 characters

sourcestring: URI that indicates the location of the source model artifacts. This is used when creating the model version.
Example: dbfs:/databricks/mlflow-tracking/run123/model

run_idstring: Unique identifier for the MLflow tracking run associated with the source model artifacts.
Example: 6fc74c92704341aaa49e74dcc6031057

statusstring: Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on the current status, for example why registration failed.
Example: Source could not be found.

open_requestsarray of object

Open requests for this model_versions. Gap in sequence number is intentional and is done in order to match field sequence numbers of ModelVersion proto message

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

permission_levelstring: Values: CAN_MANAGE, CAN_EDIT, CAN_READ, CAN_MANAGE_STAGING_VERSIONS, CAN_MANAGE_PRODUCTION_VERSIONS, CAN_CREATE_REGISTERED_MODEL

tagsarray of object

Array of tags that are associated with the model version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: URL of the run associated with the model artifacts. This field is set at model version creation time only for model versions whose source run is from a tracking server that is different from the registry server.
Example: https://<databricks-instance>/#mlflow/experiments/28774367/runs/6fc74c92704341aaa49e74dcc6031057

email_subscription_statusstring: Email Subscription Status: This is the subscription status of the user to the model version Users get subscribed by interacting with the model version.
Values: ALL_EVENTS, DEFAULT, SUBSCRIBED, UNSUBSCRIBED

feature_listobject

Feature lineage of model_version.

Show child attributesHide child attributes

featuresarray of object

Show child attributesHide child attributes

feature_table_namestring: Feature table name

feature_namestring: Feature name

feature_table_idstring: Feature table id

View as Markdown

Request

{
  "name": "search_ads_model",
  "version": "1",
  "stage": "string",
  "archive_existing_versions": true,
  "comment": "This version is great!"
}

Response

{
  "model_version_databricks": {
    "name": "search_ads_model",
    "version": "1",
    "creation_timestamp": 1594437249910,
    "last_updated_timestamp": 1594437549910,
    "user_id": "jane.doe@example.com",
    "current_stage": "string",
    "description": "Here's some extra info.",
    "source": "dbfs:/databricks/mlflow-tracking/run123/model",
    "run_id": "6fc74c92704341aaa49e74dcc6031057",
    "status": "string",
    "status_message": "Source could not be found.",
    "open_requests": [
      {}
    ],
    "permission_level": "string",
    "tags": [
      {}
    ],
    "run_link": "https://\u003cdatabricks-instance\u003e/#mlflow/experiments/28774367/runs/6fc74c92704341aaa49e74dcc6031057",
    "email_subscription_status": "string",
    "feature_list": {}
  }
}

Update Comment GA

PATCH /api/2.0/mlflow/comments/update

Post an edit to a comment on a model version.

API scopes: mlflow

Request body

idstring: Unique identifier of an activity
Example: 6fc74c92704341aaa49e74dcc6031057

commentstring: User-provided comment on the action.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

Response

commentobject

Updated comment object

Show child attributesHide child attributes

creation_timestampint64: Creation time of the object, as a Unix timestamp in milliseconds.
Example: 1594437249910

user_idstring: The username of the user that created the object.
Example: jane.doe@example.com

activity_typestring: Values: APPLIED_TRANSITION, REQUESTED_TRANSITION, CANCELLED_REQUEST, APPROVED_REQUEST, REJECTED_REQUEST, NEW_COMMENT, SYSTEM_TRANSITION

commentstring: User-provided comment associated with the activity, comment, or transition request.
Example: This version is great!
Constraints: [ 1 .. 65535 ] characters

last_updated_timestampint64: Time of the object at last update, as a Unix timestamp in milliseconds.
Example: 1594437549910

from_stagestring

Source stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

to_stagestring

Target stage of the transition (if the activity is stage transition related). Valid values are:

None: The initial stage of a model version.
Staging: Staging or pre-production stage.
Production: Production stage.
Archived: Archived stage.

system_commentstring: Comment made by system, for example explaining an activity of type SYSTEM_TRANSITION. It usually describes a side effect, such as a version being archived as part of another version's stage transition, and may not be returned for some activity types.

available_actionsarray of string: Array of actions on the activity allowed for the current viewer.
Values: APPROVE_TRANSITION_REQUEST, REJECT_TRANSITION_REQUEST, CANCEL_TRANSITION_REQUEST, EDIT_COMMENT, DELETE_COMMENT

idstring: Unique identifier for the object.
Example: 6fc74c92704341aaa49e74dcc6031057

View as Markdown

Request

{
  "id": "6fc74c92704341aaa49e74dcc6031057",
  "comment": "This version is great!"
}

Response

{
  "comment": {
    "available_actions": [
      "EDIT_COMMENT"
    ],
    "comment": "This version is great!",
    "creation_timestamp": 1594437249910,
    "id": "6fc74c92704341aaa49e74dcc6031057",
    "last_updated_timestamp": 1594437549910,
    "user_id": "jane.doe@example.com"
  }
}

List Latest Versions GA

POST /api/2.0/mlflow/registered-models/get-latest-versions

Gets the latest version of a registered model.

API scopes: mlflow

Request body

namestring: Registered model unique name identifier.

stagesarray of string: List of stages.

Response

model_versionsarray of object

Latest version models for each requests stage. Only return models with current READY status. If no stages provided, returns the latest version for each stage, including "None".

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

View as Markdown

Request

{
  "name": "string",
  "stages": [
    "string"
  ]
}

Response

{
  "model_versions": [
    {
      "name": "string",
      "version": "string",
      "creation_timestamp": 0,
      "last_updated_timestamp": 0,
      "user_id": "string",
      "current_stage": "string",
      "description": "string",
      "source": "string",
      "run_id": "string",
      "status": "string",
      "status_message": "string",
      "tags": [
        {}
      ],
      "run_link": "string"
    }
  ]
}

Create Model Version GA

POST /api/2.0/mlflow/model-versions/create

Creates a model version.

API scopes: mlflow

Request body

namestring: Register model under this name

sourcestring: URI indicating the location of the model artifacts.

run_idstring: MLflow run ID for correlation, if source was generated by an experiment run in MLflow tracking server

tagsarray of object

Additional metadata for model version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: MLflow run link - this is the exact link of the run that generated this model version, potentially hosted at another instance of MLflow.

descriptionstring: Optional description for model version.

Response

model_versionobject

Return new version number generated for this model in registry.

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

View as Markdown

Request

{
  "name": "string",
  "source": "string",
  "run_id": "string",
  "tags": [
    {
      "key": "string",
      "value": "string"
    }
  ],
  "run_link": "string",
  "description": "string"
}

Response

{
  "model_version": {
    "name": "string",
    "version": "string",
    "creation_timestamp": 0,
    "last_updated_timestamp": 0,
    "user_id": "string",
    "current_stage": "string",
    "description": "string",
    "source": "string",
    "run_id": "string",
    "status": "string",
    "status_message": "string",
    "tags": [
      {}
    ],
    "run_link": "string"
  }
}

Delete Model Version GA

DELETE /api/2.0/mlflow/model-versions/delete

Deletes a model version.

API scopes: mlflow

Parameters

namestringquery: Name of the registered model

versionstringquery: Model version number

Delete Model Version Tag GA

DELETE /api/2.0/mlflow/model-versions/delete-tag

Deletes a model version tag.

API scopes: mlflow

Parameters

namestringquery: Name of the registered model that the tag was logged under.

versionstringquery: Model version number that the tag was logged under.

keystringquery: Name of the tag. The name must be an exact match; wild-card deletion is not supported. Maximum size is 250 bytes.

Delete Registered Model Tag GA

DELETE /api/2.0/mlflow/registered-models/delete-tag

Deletes the tag for a registered model.

API scopes: mlflow

Parameters

namestringquery: Name of the registered model that the tag was logged under.

keystringquery: Name of the tag. The name must be an exact match; wild-card deletion is not supported. Maximum size is 250 bytes.

Get Model Version GA

GET /api/2.0/mlflow/model-versions/get

Get a model version.

API scopes: mlflow

Parameters

namestringquery: Name of the registered model

versionstringquery: Model version number

Response

model_versionobject

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

View as Markdown

Response

{
  "model_version": {
    "name": "string",
    "version": "string",
    "creation_timestamp": 0,
    "last_updated_timestamp": 0,
    "user_id": "string",
    "current_stage": "string",
    "description": "string",
    "source": "string",
    "run_id": "string",
    "status": "string",
    "status_message": "string",
    "tags": [
      {}
    ],
    "run_link": "string"
  }
}

Get Model Version Download Uri GA

GET /api/2.0/mlflow/model-versions/get-download-uri

Gets a URI to download the model version.

API scopes: mlflow

Parameters

namestringquery: Name of the registered model

versionstringquery: Model version number

Response

artifact_uristring: URI corresponding to where artifacts for this model version are stored.

List Registered Models GA

GET /api/2.0/mlflow/registered-models/list

Lists all available registered models, up to the limit specified in max_results.

API scopes: mlflow

Parameters

max_resultsint64query: Maximum number of registered models desired. Max threshold is 1000.
Default: 100
Constraints: <= 1000

page_tokenstringquery: Pagination token to go to the next page based on a previous query.

Response

registered_modelsarray of object

Show child attributesHide child attributes

namestring: Unique name for the model.

creation_timestampint64: Timestamp recorded when this registered_model was created.

last_updated_timestampint64: Timestamp recorded when metadata for this registered_model was last updated.

user_idstring: User that created this registered_model

descriptionstring: Description of this registered_model.

latest_versionsarray of object

Collection of latest model versions for each stage. Only contains models with current READY status.

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

tagsarray of object

Tags: Additional metadata key-value pairs for this registered_model.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

next_page_tokenstring: Pagination token to request next page of models for the same query.

View as Markdown

Response

{
  "registered_models": [
    {
      "name": "string",
      "creation_timestamp": 0,
      "last_updated_timestamp": 0,
      "user_id": "string",
      "description": "string",
      "latest_versions": [
        {}
      ],
      "tags": [
        {}
      ]
    }
  ],
  "next_page_token": "string"
}

Rename Registered Model GA

POST /api/2.0/mlflow/registered-models/rename

Renames a registered model.

API scopes: mlflow

Request body

namestring: Registered model unique name identifier.

new_namestring: If provided, updates the name for this registered_model.

Response

registered_modelobject

Show child attributesHide child attributes

namestring: Unique name for the model.

creation_timestampint64: Timestamp recorded when this registered_model was created.

last_updated_timestampint64: Timestamp recorded when metadata for this registered_model was last updated.

user_idstring: User that created this registered_model

descriptionstring: Description of this registered_model.

latest_versionsarray of object

Collection of latest model versions for each stage. Only contains models with current READY status.

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

tagsarray of object

Tags: Additional metadata key-value pairs for this registered_model.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

View as Markdown

Request

{
  "name": "string",
  "new_name": "string"
}

Response

{
  "registered_model": {
    "name": "string",
    "creation_timestamp": 0,
    "last_updated_timestamp": 0,
    "user_id": "string",
    "description": "string",
    "latest_versions": [
      {}
    ],
    "tags": [
      {}
    ]
  }
}

Search Model Versions GA

GET /api/2.0/mlflow/model-versions/search

Searches for specific model versions based on the supplied filter.

API scopes: mlflow

Parameters

filterstringquery: String filter condition, like "name='my-model-name'". Must be a single boolean condition, with string values wrapped in single quotes.

max_resultsint64query: Maximum number of models desired. Max threshold is 10K.
Default: 10000
Constraints: <= 10000

order_byarray of stringquery: List of columns to be ordered by including model name, version, stage with an optional "DESC" or "ASC" annotation, where "ASC" is the default. Tiebreaks are done by latest stage transition timestamp, followed by name ASC, followed by version DESC.

page_tokenstringquery: Pagination token to go to next page based on previous search query.

Response

model_versionsarray of object

Models that match the search criteria

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

next_page_tokenstring: Pagination token to request next page of models for the same search query.

View as Markdown

Response

{
  "model_versions": [
    {
      "name": "string",
      "version": "string",
      "creation_timestamp": 0,
      "last_updated_timestamp": 0,
      "user_id": "string",
      "current_stage": "string",
      "description": "string",
      "source": "string",
      "run_id": "string",
      "status": "string",
      "status_message": "string",
      "tags": [
        {}
      ],
      "run_link": "string"
    }
  ],
  "next_page_token": "string"
}

Search Registered Models GA

GET /api/2.0/mlflow/registered-models/search

Search for registered models based on the specified filter.

API scopes: mlflow

Parameters

filterstringquery: String filter condition, like "name LIKE 'my-model-name'". Interpreted in the backend automatically as "name LIKE '%my-model-name%'". Single boolean condition, with string values wrapped in single quotes.

max_resultsint64query: Maximum number of models desired. Default is 100. Max threshold is 1000.
Default: 100
Constraints: <= 1000

order_byarray of stringquery: List of columns for ordering search results, which can include model name and last updated timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default. Tiebreaks are done by model name ASC.

page_tokenstringquery: Pagination token to go to the next page based on a previous search query.

Response

registered_modelsarray of object

Registered Models that match the search criteria.

Show child attributesHide child attributes

namestring: Unique name for the model.

creation_timestampint64: Timestamp recorded when this registered_model was created.

last_updated_timestampint64: Timestamp recorded when metadata for this registered_model was last updated.

user_idstring: User that created this registered_model

descriptionstring: Description of this registered_model.

latest_versionsarray of object

Collection of latest model versions for each stage. Only contains models with current READY status.

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

tagsarray of object

Tags: Additional metadata key-value pairs for this registered_model.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

next_page_tokenstring: Pagination token to request the next page of models.

View as Markdown

Response

{
  "registered_models": [
    {
      "name": "string",
      "creation_timestamp": 0,
      "last_updated_timestamp": 0,
      "user_id": "string",
      "description": "string",
      "latest_versions": [
        {}
      ],
      "tags": [
        {}
      ]
    }
  ],
  "next_page_token": "string"
}

Set Model Version Tag GA

POST /api/2.0/mlflow/model-versions/set-tag

Sets a model version tag.

API scopes: mlflow

Request body

namestring: Unique name of the model.

versionstring: Model version number.

keystring: Name of the tag. Maximum size depends on storage backend. If a tag with this name already exists, its preexisting value will be replaced by the specified value. All storage backends are guaranteed to support key values up to 250 bytes in size.

valuestring: String value of the tag being logged. Maximum size depends on storage backend. All storage backends are guaranteed to support key values up to 5000 bytes in size.

Set Registered Model Tag GA

POST /api/2.0/mlflow/registered-models/set-tag

Sets a tag on a registered model.

API scopes: mlflow

Request body

namestring: Unique name of the model.

keystring: Name of the tag. Maximum size depends on storage backend. If a tag with this name already exists, its preexisting value will be replaced by the specified value. All storage backends are guaranteed to support key values up to 250 bytes in size.

valuestring: String value of the tag being logged. Maximum size depends on storage backend. All storage backends are guaranteed to support key values up to 5000 bytes in size.

Update Model Version GA

PATCH /api/2.0/mlflow/model-versions/update

Updates the model version.

API scopes: mlflow

Request body

namestring: Name of the registered model

versionstring: Model version number

descriptionstring: If provided, updates the description for this registered_model.

Response

model_versionobject

Return new version number generated for this model in registry.

Show child attributesHide child attributes

namestring: Unique name of the model

versionstring: Model's version number.

creation_timestampint64: Timestamp recorded when this model_version was created.

last_updated_timestampint64: Timestamp recorded when metadata for this model_version was last updated.

user_idstring: User that created this model_version.

current_stagestring: Current stage for this model_version.

descriptionstring: Description of this model_version.

sourcestring: URI indicating the location of the source model artifacts, used when creating model_version

run_idstring: MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server.

statusstring: Current status of model_version
Values: PENDING_REGISTRATION, FAILED_REGISTRATION, READY

status_messagestring: Details on current status, if it is pending or failed.

tagsarray of object

Tags: Additional metadata key-value pairs for this model_version.

Show child attributesHide child attributes

keystring: The tag key.

valuestring: The tag value.

run_linkstring: Run Link: Direct link to the run that generated this version

View as Markdown

Request

{
  "name": "string",
  "version": "string",
  "description": "string"
}

Response

{
  "model_version": {
    "name": "string",
    "version": "string",
    "creation_timestamp": 0,
    "last_updated_timestamp": 0,
    "user_id": "string",
    "current_stage": "string",
    "description": "string",
    "source": "string",
    "run_id": "string",
    "status": "string",
    "status_message": "string",
    "tags": [
      {}
    ],
    "run_link": "string"
  }
}

List Transition Requests GA​

Parameters​

Response​

Approve Transition Request GA​

Request body​

Response​

Create Comment GA​

Request body​

Response​

Create Transition Request GA​

Request body​

Response​

Delete Comment GA​

Parameters​

Delete Transition Request GA​

Parameters​

Response​

Get Registered Model Databricks GA​

Parameters​

Response​

Reject Transition Request GA​

Request body​

Response​

Test Registry Webhook GA​

Request body​

Response​

Transition Model Version Stage Databricks GA​

Request body​

Response​

Update Comment GA​

Request body​

Response​

List Latest Versions GA​

Request body​

Response​

Create Model Version GA​

Request body​

Response​

Delete Model Version GA​

Parameters​

Delete Model Version Tag GA​

Parameters​

Delete Registered Model Tag GA​

Parameters​

Get Model Version GA​

Parameters​

Response​

Get Model Version Download Uri GA​

Parameters​

Response​

List Registered Models GA​

Parameters​

Response​

Rename Registered Model GA​

Request body​

Response​

Search Model Versions GA​

Parameters​

Response​

Search Registered Models GA​

Parameters​

Response​

Set Model Version Tag GA​

Request body​

Set Registered Model Tag GA​

Request body​

Update Model Version GA​

Request body​

Response​

List Transition Requests GA

Parameters

Response

Approve Transition Request GA

Request body

Response

Create Comment GA

Request body

Response

Create Transition Request GA

Request body

Response

Delete Comment GA

Parameters

Delete Transition Request GA

Parameters

Response

Get Registered Model Databricks GA

Parameters

Response

Reject Transition Request GA

Request body

Response

Test Registry Webhook GA

Request body

Response

Transition Model Version Stage Databricks GA

Request body

Response

Update Comment GA

Request body

Response

List Latest Versions GA

Request body

Response

Create Model Version GA

Request body

Response

Delete Model Version GA

Parameters

Delete Model Version Tag GA

Parameters

Delete Registered Model Tag GA

Parameters

Get Model Version GA

Parameters

Response

Get Model Version Download Uri GA

Parameters

Response

List Registered Models GA

Parameters

Response

Rename Registered Model GA

Request body

Response

Search Model Versions GA

Parameters

Response

Search Registered Models GA

Parameters

Response

Set Model Version Tag GA

Request body

Set Registered Model Tag GA

Request body

Update Model Version GA

Request body

Response