DELETE /v1/services/mlmodelServices/{id}

from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices

configure(
    host="https://your-company.getcollate.io/api",
    jwt_token="your-jwt-token"
)

# Soft delete by ID
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9")

# Hard delete
MlModelServices.delete(
    "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    hard_delete=True
)

# Delete by name
MlModelServices.delete_by_name("mlflow_svc")

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

# Restore a soft-deleted ML model service
MlModelServices.restore("ca22d46e-81b9-4e48-85b5-0adc44980da9")

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

// Soft delete
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9").execute();

// Hard delete
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9")
    .hardDelete()
    .execute();

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

// Restore
MlModelServices.restore("ca22d46e-81b9-4e48-85b5-0adc44980da9");

# Soft delete by ID
curl -X DELETE "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9" \
  -H "Authorization: Bearer {access_token}"

# Hard delete
curl -X DELETE "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9?hardDelete=true" \
  -H "Authorization: Bearer {access_token}"

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

# Restore soft-deleted ML model service
curl -X PUT "{base_url}/api/v1/services/mlmodelServices/restore" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{"id": "ca22d46e-81b9-4e48-85b5-0adc44980da9"}'

{
  "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
  "name": "mlflow_svc",
  "fullyQualifiedName": "mlflow_svc",
  "serviceType": "Mlflow",
  "version": 0.2,
  "updatedAt": 1769982621618,
  "updatedBy": "admin",
  "connection": {
    "config": {
      "type": "Mlflow",
      "trackingUri": "http://localhost:8088",
      "registryUri": "http://localhost:8088",
      "supportsMetadataExtraction": true
    }
  },
  "owners": [],
  "tags": [],
  "deleted": true,
  "domains": []
}

DELETE

services

mlmodelServices

{id}

DELETE /v1/services/mlmodelServices/{id}

from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices

configure(
    host="https://your-company.getcollate.io/api",
    jwt_token="your-jwt-token"
)

# Soft delete by ID
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9")

# Hard delete
MlModelServices.delete(
    "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    hard_delete=True
)

# Delete by name
MlModelServices.delete_by_name("mlflow_svc")

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

# Restore a soft-deleted ML model service
MlModelServices.restore("ca22d46e-81b9-4e48-85b5-0adc44980da9")

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

// Soft delete
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9").execute();

// Hard delete
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9")
    .hardDelete()
    .execute();

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

// Restore
MlModelServices.restore("ca22d46e-81b9-4e48-85b5-0adc44980da9");

# Soft delete by ID
curl -X DELETE "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9" \
  -H "Authorization: Bearer {access_token}"

# Hard delete
curl -X DELETE "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9?hardDelete=true" \
  -H "Authorization: Bearer {access_token}"

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

# Restore soft-deleted ML model service
curl -X PUT "{base_url}/api/v1/services/mlmodelServices/restore" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{"id": "ca22d46e-81b9-4e48-85b5-0adc44980da9"}'

{
  "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
  "name": "mlflow_svc",
  "fullyQualifiedName": "mlflow_svc",
  "serviceType": "Mlflow",
  "version": 0.2,
  "updatedAt": 1769982621618,
  "updatedBy": "admin",
  "connection": {
    "config": {
      "type": "Mlflow",
      "trackingUri": "http://localhost:8088",
      "registryUri": "http://localhost:8088",
      "supportsMetadataExtraction": true
    }
  },
  "owners": [],
  "tags": [],
  "deleted": true,
  "domains": []
}

Delete an ML Model Service

Delete an ML model service 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 service to delete.

boolean

default:"false"

Recursively delete child entities (ML models).

boolean

default:"false"

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

Delete by Name

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

string

required

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

boolean

default:"false"

Recursively delete child entities.

boolean

default:"false"

Permanently delete the ML model service.

Restore a Soft-Deleted ML Model Service

Use PUT /v1/services/mlmodelServices/restore to restore a soft-deleted ML model service.

string

required

UUID of the soft-deleted ML model service to restore.

DELETE /v1/services/mlmodelServices/{id}

from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices

configure(
    host="https://your-company.getcollate.io/api",
    jwt_token="your-jwt-token"
)

# Soft delete by ID
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9")

# Hard delete
MlModelServices.delete(
    "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    hard_delete=True
)

# Delete by name
MlModelServices.delete_by_name("mlflow_svc")

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

# Restore a soft-deleted ML model service
MlModelServices.restore("ca22d46e-81b9-4e48-85b5-0adc44980da9")

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

// Soft delete
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9").execute();

// Hard delete
MlModelServices.delete("ca22d46e-81b9-4e48-85b5-0adc44980da9")
    .hardDelete()
    .execute();

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

// Restore
MlModelServices.restore("ca22d46e-81b9-4e48-85b5-0adc44980da9");

# Soft delete by ID
curl -X DELETE "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9" \
  -H "Authorization: Bearer {access_token}"

# Hard delete
curl -X DELETE "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9?hardDelete=true" \
  -H "Authorization: Bearer {access_token}"

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

# Restore soft-deleted ML model service
curl -X PUT "{base_url}/api/v1/services/mlmodelServices/restore" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{"id": "ca22d46e-81b9-4e48-85b5-0adc44980da9"}'

{
  "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
  "name": "mlflow_svc",
  "fullyQualifiedName": "mlflow_svc",
  "serviceType": "Mlflow",
  "version": 0.2,
  "updatedAt": 1769982621618,
  "updatedBy": "admin",
  "connection": {
    "config": {
      "type": "Mlflow",
      "trackingUri": "http://localhost:8088",
      "registryUri": "http://localhost:8088",
      "supportsMetadataExtraction": true
    }
  },
  "owners": [],
  "tags": [],
  "deleted": true,
  "domains": []
}

Returns

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

Error Handling

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

Update an ML Model Service

ML Model Service Versions

⌘I

​Delete an ML Model Service

​Delete by ID

​Delete by Name

​Restore a Soft-Deleted ML Model Service

​Returns

​Error Handling

Delete an ML Model Service

Delete by ID

Delete by Name

Restore a Soft-Deleted ML Model Service

Returns

Error Handling