| Package | Description |
|---|---|
| org.mlflow.tracking |
MLflow Tracking provides a Java CRUD interface to MLflow Experiments and Runs --
to create and log to MLflow runs, use the
MlflowContext interface. |
| org.mlflow.tracking.creds |
Support for custom tracking service discovery and authentication.
|
| Constructor and Description |
|---|
MlflowClient(MlflowHostCredsProvider hostCredsProvider)
Create a new MlflowClient; users should prefer constructing ApiClients via
MlflowClient.MlflowClient() or MlflowClient.MlflowClient(String) if possible. |
| Modifier and Type | Class and Description |
|---|---|
class |
BasicMlflowHostCreds
A static hostname and optional credentials to talk to an MLflow server.
|
class |
DatabricksConfigHostCredsProvider |
class |
DatabricksDynamicHostCredsProvider |
class |
HostCredsProviderChain |
| Constructor and Description |
|---|
HostCredsProviderChain(MlflowHostCredsProvider... hostCredsProviders) |
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