Corey Zumar

Results 176 comments of Corey Zumar

[DOC-FIX] Document models:/ URIs explicitly in OSS MLflow docs

@Nikhil-Mudgal I agree, the second solution is better. The following section of the contributing guide should help: https://github.com/mlflow/mlflow/blob/master/CONTRIBUTING.rst#writing-docs

[FR] Support for Classification Pipelines

@KarthikKothareddy Thank you for filing this feature request. I agree that a classification pipeline would be very useful. We're currently looking into this and should have more information soon about...

Added longName to RunLinkPopover

Hi @pimdh , are there any updates here?

Added longName to RunLinkPopover

Hi @pimdh , are there any updates here?

Added longName to RunLinkPopover

Hi @pimdh , are there any updates here?

I make a request to the databricks api, but I don't have the schema return of the model signature.

Hi @thiagogualberto. Unfortunately, the MLflow Model Registry does not currently provide an API for returning model schema information. The model schema is read directly from the `MLmodel` file associated with...

I make a request to the databricks api, but I don't have the schema return of the model signature.

@Andref-cOliveira understood! We are currently introducing a Python API to make this workflow easier (see https://github.com/mlflow/mlflow/pull/6494) and would happily accept a contribution for a Java API equivalent. I've gone ahead...

[BUG] Require validation for `MlflowClient.log_batch` when updating params

@Mathanraj-Sharma @WeichenXu123 @harupy I've closed https://github.com/mlflow/mlflow/pull/6184 because I think we need a different approach. Instead of adding client-side validation, can we trace the source of the 500-level error being returned...

[BUG]mlflow gc command raise exception when serve-artifacts as local file

@BenWilson2 @harupy Can you take a look at this?

[BUG] Error registering model version: The provided Model Flavors dictionary is invalid [R]

@franperezlopez Thank you for filing this issue. @wamartin-aml @trangevi @akshaya-a can you take a look at this from an AzureML perspective?