[BUG] R API: mlflow_create_model_version() has bug in source #4908
Labels
area/model-registry
Model registry, model registry APIs, and the fluent client calls for model registry
bug
Something isn't working
language/r
R APIs and clients
Thank you for submitting an issue. Please refer to our issue policy for additional information about bug reports. For help with debugging your code, please refer to Stack Overflow.
Please fill in this bug report template to ensure a timely and thorough response.
Willingness to contribute
The MLflow Community encourages bug fix contributions. Would you or another member of your organization be willing to contribute a fix for this bug to the MLflow code base?
System information
mlflow --version
):Describe the problem
This is trivial, but the function definition in the source code below appears wrong. It should be
source = source
instead ofsource = name
.File: model-registry.R
Code to reproduce issue
mlflow_create_model_version(name="model", source="dbfs:/databricks/mlflow-tracking/2466938677462882/11ff1812a0384f118825a7838e82ba2d/artifacts")
Other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.
What component(s), interfaces, languages, and integrations does this bug affect?
Components
area/artifacts
: Artifact stores and artifact loggingarea/build
: Build and test infrastructure for MLflowarea/docs
: MLflow documentation pagesarea/examples
: Example codearea/model-registry
: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models
: MLmodel format, model serialization/deserialization, flavorsarea/projects
: MLproject format, project running backendsarea/scoring
: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra
: MLflow Tracking server backendarea/tracking
: Tracking Service, tracking client APIs, autologgingInterface
area/uiux
: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker
: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy
: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows
: Windows supportLanguage
language/r
: R APIs and clientslanguage/java
: Java APIs and clientslanguage/new
: Proposals for new client languagesIntegrations
integrations/azure
: Azure and Azure ML integrationsintegrations/sagemaker
: SageMaker integrationsintegrations/databricks
: Databricks integrationsThe text was updated successfully, but these errors were encountered: