DELETE /v1/mlmodels/{id}

from metadata.sdk import configure
from metadata.sdk.entities import MLModels

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

# Soft delete by ID
MLModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")

# Hard delete
MLModels.delete(
    "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2",
    hard_delete=True
)

# Delete by name
MLModels.delete_by_name("mlflow_svc.customer_segmentation")

# Delete by name with options
MLModels.delete_by_name(
    "mlflow_svc.customer_segmentation",
    hard_delete=True
)

# Restore a soft-deleted ML model
MLModels.restore("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")

import static org.openmetadata.sdk.fluent.MlModels.*;

// Soft delete
MlModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2").execute();

// Hard delete
MlModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")
    .hardDelete()
    .execute();

// Delete by name
MlModels.deleteByName("mlflow_svc.customer_segmentation").execute();

// Restore
MlModels.restore("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2");

# Soft delete by ID
curl -X DELETE "{base_url}/api/v1/mlmodels/6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2" \
  -H "Authorization: Bearer {access_token}"

# Hard delete
curl -X DELETE "{base_url}/api/v1/mlmodels/6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2?hardDelete=true" \
  -H "Authorization: Bearer {access_token}"

# Delete by name
curl -X DELETE "{base_url}/api/v1/mlmodels/name/mlflow_svc.customer_segmentation" \
  -H "Authorization: Bearer {access_token}"

# Restore soft-deleted ML model
curl -X PUT "{base_url}/api/v1/mlmodels/restore" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{"id": "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2"}'

{
  "id": "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2",
  "name": "customer_segmentation",
  "fullyQualifiedName": "mlflow_svc.customer_segmentation",
  "displayName": "Customer Segmentation Model",
  "algorithm": "KMeans",
  "version": 0.2,
  "updatedAt": 1769982669247,
  "updatedBy": "admin",
  "service": {
    "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    "type": "mlmodelService",
    "name": "mlflow_svc",
    "fullyQualifiedName": "mlflow_svc"
  },
  "serviceType": "Mlflow",
  "deleted": true,
  "owners": [],
  "tags": [],
  "domains": []
}

DELETE

mlmodels

{id}

DELETE /v1/mlmodels/{id}

from metadata.sdk import configure
from metadata.sdk.entities import MLModels

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

# Soft delete by ID
MLModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")

# Hard delete
MLModels.delete(
    "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2",
    hard_delete=True
)

# Delete by name
MLModels.delete_by_name("mlflow_svc.customer_segmentation")

# Delete by name with options
MLModels.delete_by_name(
    "mlflow_svc.customer_segmentation",
    hard_delete=True
)

# Restore a soft-deleted ML model
MLModels.restore("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")

import static org.openmetadata.sdk.fluent.MlModels.*;

// Soft delete
MlModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2").execute();

// Hard delete
MlModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")
    .hardDelete()
    .execute();

// Delete by name
MlModels.deleteByName("mlflow_svc.customer_segmentation").execute();

// Restore
MlModels.restore("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2");

# Soft delete by ID
curl -X DELETE "{base_url}/api/v1/mlmodels/6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2" \
  -H "Authorization: Bearer {access_token}"

# Hard delete
curl -X DELETE "{base_url}/api/v1/mlmodels/6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2?hardDelete=true" \
  -H "Authorization: Bearer {access_token}"

# Delete by name
curl -X DELETE "{base_url}/api/v1/mlmodels/name/mlflow_svc.customer_segmentation" \
  -H "Authorization: Bearer {access_token}"

# Restore soft-deleted ML model
curl -X PUT "{base_url}/api/v1/mlmodels/restore" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{"id": "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2"}'

{
  "id": "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2",
  "name": "customer_segmentation",
  "fullyQualifiedName": "mlflow_svc.customer_segmentation",
  "displayName": "Customer Segmentation Model",
  "algorithm": "KMeans",
  "version": 0.2,
  "updatedAt": 1769982669247,
  "updatedBy": "admin",
  "service": {
    "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    "type": "mlmodelService",
    "name": "mlflow_svc",
    "fullyQualifiedName": "mlflow_svc"
  },
  "serviceType": "Mlflow",
  "deleted": true,
  "owners": [],
  "tags": [],
  "domains": []
}

Delete an ML Model

Delete an ML model by ID or fully qualified name. Supports soft delete (default), hard delete, and restore operations.

Delete by ID

string

required

UUID of the ML model to delete.

recursive

boolean

default:"false"

Recursively delete child entities.

hardDelete

boolean

default:"false"

Permanently delete the ML model. If false, the ML model is soft-deleted and can be restored.

Delete by Name

Use DELETE /v1/mlmodels/name/{fqn} to delete by fully qualified name.

fqn

string

required

Fully qualified name of the ML model (e.g., mlflow_svc.customer_segmentation).

recursive

boolean

default:"false"

Recursively delete child entities.

hardDelete

boolean

default:"false"

Permanently delete the ML model.

Restore a Soft-Deleted ML Model

Use PUT /v1/mlmodels/restore to restore a soft-deleted ML model.

string

required

UUID of the soft-deleted ML model to restore.

DELETE /v1/mlmodels/{id}

from metadata.sdk import configure
from metadata.sdk.entities import MLModels

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

# Soft delete by ID
MLModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")

# Hard delete
MLModels.delete(
    "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2",
    hard_delete=True
)

# Delete by name
MLModels.delete_by_name("mlflow_svc.customer_segmentation")

# Delete by name with options
MLModels.delete_by_name(
    "mlflow_svc.customer_segmentation",
    hard_delete=True
)

# Restore a soft-deleted ML model
MLModels.restore("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")

import static org.openmetadata.sdk.fluent.MlModels.*;

// Soft delete
MlModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2").execute();

// Hard delete
MlModels.delete("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2")
    .hardDelete()
    .execute();

// Delete by name
MlModels.deleteByName("mlflow_svc.customer_segmentation").execute();

// Restore
MlModels.restore("6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2");

# Soft delete by ID
curl -X DELETE "{base_url}/api/v1/mlmodels/6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2" \
  -H "Authorization: Bearer {access_token}"

# Hard delete
curl -X DELETE "{base_url}/api/v1/mlmodels/6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2?hardDelete=true" \
  -H "Authorization: Bearer {access_token}"

# Delete by name
curl -X DELETE "{base_url}/api/v1/mlmodels/name/mlflow_svc.customer_segmentation" \
  -H "Authorization: Bearer {access_token}"

# Restore soft-deleted ML model
curl -X PUT "{base_url}/api/v1/mlmodels/restore" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{"id": "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2"}'

{
  "id": "6b04e1d8-b66d-4f78-ab21-beb5be2cf4f2",
  "name": "customer_segmentation",
  "fullyQualifiedName": "mlflow_svc.customer_segmentation",
  "displayName": "Customer Segmentation Model",
  "algorithm": "KMeans",
  "version": 0.2,
  "updatedAt": 1769982669247,
  "updatedBy": "admin",
  "service": {
    "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    "type": "mlmodelService",
    "name": "mlflow_svc",
    "fullyQualifiedName": "mlflow_svc"
  },
  "serviceType": "Mlflow",
  "deleted": true,
  "owners": [],
  "tags": [],
  "domains": []
}

Returns

Soft delete returns the ML model object with deleted: true. Hard delete returns no content (204). Restore returns the restored ML model object.

Error Handling

Code	Error Type	Description
`401`	`UNAUTHORIZED`	Invalid or missing authentication token
`403`	`FORBIDDEN`	User lacks permission to delete this ML model
`404`	`NOT_FOUND`	ML model with given ID or FQN does not exist

Create an ML Model

Followers & Votes

​Delete an ML Model

​Delete by ID

​Delete by Name

​Restore a Soft-Deleted ML Model

​Returns

​Error Handling

Delete an ML Model

Delete by ID

Delete by Name

Restore a Soft-Deleted ML Model

Returns

Error Handling