GET /v1/services/mlmodelServices/{id}/versions
from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices
configure(
host="https://your-company.open-metadata.org/api",
jwt_token="your-jwt-token"
)
# List all versions
versions = MlModelServices.get_versions("ca22d46e-81b9-4e48-85b5-0adc44980da9")
for v in versions:
print(f"Version {v.version}: {v.description}")
# Get a specific version
svc_v1 = MlModelServices.get_specific_version(
"ca22d46e-81b9-4e48-85b5-0adc44980da9",
"0.1"
)
print(f"Original description: {svc_v1.description}")
import static org.openmetadata.sdk.fluent.MlModelServices.*;
// List all versions
var history = MlModelServices.getVersions("ca22d46e-81b9-4e48-85b5-0adc44980da9");
for (var version : history.getVersions()) {
System.out.println("Version: " + version);
}
// Get a specific version
var v1 = MlModelServices.getSpecificVersion(
"ca22d46e-81b9-4e48-85b5-0adc44980da9",
0.1
);
System.out.println("Description: " + v1.getDescription());
# List all versions
curl "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9/versions" \
-H "Authorization: Bearer {access_token}"
# Get a specific version
curl "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9/versions/0.1" \
-H "Authorization: Bearer {access_token}"
{
"entityType": "mlmodelService",
"versions": [
"{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.2,\"description\":\"Updated: Production MLflow tracking server\",\"serviceType\":\"Mlflow\"}",
"{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.1,\"serviceType\":\"Mlflow\"}"
]
}
ML Model Service Versions
List and retrieve historical versions of an ML model service
GET
/
v1
/
services
/
mlmodelServices
/
{id}
/
versions
GET /v1/services/mlmodelServices/{id}/versions
from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices
configure(
host="https://your-company.open-metadata.org/api",
jwt_token="your-jwt-token"
)
# List all versions
versions = MlModelServices.get_versions("ca22d46e-81b9-4e48-85b5-0adc44980da9")
for v in versions:
print(f"Version {v.version}: {v.description}")
# Get a specific version
svc_v1 = MlModelServices.get_specific_version(
"ca22d46e-81b9-4e48-85b5-0adc44980da9",
"0.1"
)
print(f"Original description: {svc_v1.description}")
import static org.openmetadata.sdk.fluent.MlModelServices.*;
// List all versions
var history = MlModelServices.getVersions("ca22d46e-81b9-4e48-85b5-0adc44980da9");
for (var version : history.getVersions()) {
System.out.println("Version: " + version);
}
// Get a specific version
var v1 = MlModelServices.getSpecificVersion(
"ca22d46e-81b9-4e48-85b5-0adc44980da9",
0.1
);
System.out.println("Description: " + v1.getDescription());
# List all versions
curl "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9/versions" \
-H "Authorization: Bearer {access_token}"
# Get a specific version
curl "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9/versions/0.1" \
-H "Authorization: Bearer {access_token}"
{
"entityType": "mlmodelService",
"versions": [
"{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.2,\"description\":\"Updated: Production MLflow tracking server\",\"serviceType\":\"Mlflow\"}",
"{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.1,\"serviceType\":\"Mlflow\"}"
]
}
ML Model Service Versions
Every change to an ML model service entity creates a new version. Use these endpoints to view the version history and retrieve specific versions.List Versions
string
required
UUID of the ML model service.
Get Specific Version
UseGET /v1/services/mlmodelServices/{id}/versions/{version} to retrieve a specific version.
string
required
UUID of the ML model service.
string
required
Version number to retrieve (e.g.,
0.2).GET /v1/services/mlmodelServices/{id}/versions
from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices
configure(
host="https://your-company.open-metadata.org/api",
jwt_token="your-jwt-token"
)
# List all versions
versions = MlModelServices.get_versions("ca22d46e-81b9-4e48-85b5-0adc44980da9")
for v in versions:
print(f"Version {v.version}: {v.description}")
# Get a specific version
svc_v1 = MlModelServices.get_specific_version(
"ca22d46e-81b9-4e48-85b5-0adc44980da9",
"0.1"
)
print(f"Original description: {svc_v1.description}")
import static org.openmetadata.sdk.fluent.MlModelServices.*;
// List all versions
var history = MlModelServices.getVersions("ca22d46e-81b9-4e48-85b5-0adc44980da9");
for (var version : history.getVersions()) {
System.out.println("Version: " + version);
}
// Get a specific version
var v1 = MlModelServices.getSpecificVersion(
"ca22d46e-81b9-4e48-85b5-0adc44980da9",
0.1
);
System.out.println("Description: " + v1.getDescription());
# List all versions
curl "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9/versions" \
-H "Authorization: Bearer {access_token}"
# Get a specific version
curl "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9/versions/0.1" \
-H "Authorization: Bearer {access_token}"
{
"entityType": "mlmodelService",
"versions": [
"{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.2,\"description\":\"Updated: Production MLflow tracking server\",\"serviceType\":\"Mlflow\"}",
"{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.1,\"serviceType\":\"Mlflow\"}"
]
}
Returns
List versions returns an object withentityType and a versions array of serialized entity snapshots (newest first).
Get specific version returns the full ML model service object as it existed at that version.
Error Handling
| Code | Error Type | Description |
|---|---|---|
401 | UNAUTHORIZED | Invalid or missing authentication token |
404 | NOT_FOUND | ML model service or version does not exist |
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