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DELETE
https://sandbox.getcollate.io/api
/
v1
/
mlmodels
/
{id}
DELETE /v1/mlmodels/{id}
from metadata.sdk import configure
from metadata.sdk.entities import MLModels

configure(
    host="https://your-company.getcollate.io/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")

{
  "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

​
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.
​
id
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.getcollate.io/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")

{
  "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

CodeError TypeDescription
401UNAUTHORIZEDInvalid or missing authentication token
403FORBIDDENUser lacks permission to delete this ML model
404NOT_FOUNDML model with given ID or FQN does not exist