MLflow Models Listing Page

Manage and explore MLflow models associated with your connections in Gathr on the MLflow listing page.

To access this page, navigate through the Models (main menu) > MLflow Tab.

Note: For models to display here, ensure at least one MLflow connection has been created in Gathr.

Upon selecting a connection, MLflow models associated with it will display. You can leverage MLflow models within Gathr’s intuitive interface.

The actions available on the MLflow Models listing page are explained below:

Select a Connection: Choose from your configured connections to view models specific to that connection and manage MLflow models.
Search: Enter the model names (case-sensitive) as keywords to quickly find models based on their names.
Sort Listed Models: Arrange models in ascending or descending order based on Model Names. In the Sort By field, select either ‘ASC’ (ascending) or ‘DEC’ (descending), and then click the ‘Sort’ button to list the models accordingly.
Display Number of Models per Page: Adjust the pagination settings to control how many models are displayed at once.
View Model Versions: Upon selecting a specific MLflow model from the listing, you can access detailed information and actions related to its versions. To know more, see View Model Versions.
Delete Model: Removes an MLflow model from the listing page as well as MLflow tracking server.

The details shown on the MLflow Models listing page are:

Model Name: The unique identifier of the MLflow model.
Model Type: Categorization of the model (Example: sklearn, transformers).
Created On: Timestamp indicating when the model was initially created.
Last Modified On: Timestamp of the most recent modification to the model.
Description: Optional user-provided information offering context or details about the model’s purpose and functionality.

View Model Versions

To explore model versions, click View Versions next to any model to access its detailed version listing page.

Here, you can view comprehensive information and perform various actions related to each version.

Store model details from the MLflow model versions listing page.

Auto-populate MLflow Inference Processor’s configuration values for Model Selection tab with this feature.

Compare different versions of the selected MLflow model to assess parameters, metrices, and changes over time.

Dive deeper into the specifics of each version, including metadata, metrices, and various other details.

Delete specific versions of the MLflow model that are no longer needed or have been superseded.

This action deletes the model version from Gathr as well as MLflow tracking server.

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