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[BUG] wrong description on load keras models error #11809
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returns: the bug error says the problem is in "C:" part of the string, when in fact that is not the problem, the problem is that "/models" is missing from the end of the string so if I pass 'file:///C:/Users/users/repo/source/mlruns/340704544098555564/5a03e43832f94e30aec44bbba19e277d/artifacts/models' to |
Thanks, we should refine the error message, but this is not a critical bug. |
@mlflow/mlflow-team Please assign a maintainer and start triaging this issue. |
Issues Policy acknowledgement
Where did you encounter this bug?
Local machine
Willingness to contribute
No. I cannot contribute a bug fix at this time.
MLflow version
System information
Describe the problem
if logging a keras model to local filesystem, and when loading the model with a missing artifact dir "models" at the end, it says that it could not find a registered artifact repository saying that currently registered schemes are: ['', 'file', 's3', 'r2', 'gs', 'wasbs', 'ftp', 'sftp', 'dbfs', 'hdfs', 'viewfs', 'runs', 'models', 'http', 'https', 'mlflow-artifacts'] although the artifact path starts indeed with 'file' and that is not the problem, it was just "models" was missing at the end of the string, so the error does not describe the problem correctly
Tracking information
Code to reproduce issue
Stack trace
Other info / logs
What component(s) does this bug affect?
area/artifacts
: Artifact stores and artifact loggingarea/build
: Build and test infrastructure for MLflowarea/deployments
: MLflow Deployments client APIs, server, and third-party Deployments integrationsarea/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/recipes
: Recipes, Recipe APIs, Recipe configs, Recipe Templatesarea/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, autologgingWhat interface(s) does this bug affect?
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 supportWhat language(s) does this bug affect?
language/r
: R APIs and clientslanguage/java
: Java APIs and clientslanguage/new
: Proposals for new client languagesWhat integration(s) does this bug affect?
integrations/azure
: Azure and Azure ML integrationsintegrations/sagemaker
: SageMaker integrationsintegrations/databricks
: Databricks integrationsThe text was updated successfully, but these errors were encountered: