Dataset task manager for machine learning

When training datasets for machine learning use cases, it’s essential to stay organized. When building a new model from a dataset, it’s helpful to know what tasks are being processed, their status, and when they started. Doing so allows you to keep track of machine learning model progress and ensure the entire dataset is processed.

With Retool, you can build a task manager for machine learning use cases. You’ll be able to track the progression of datasets, create new tasks, and add context for others — all within a single application.

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Software as a ServiceEcommerceFinancial Services

End users

Engineering

Components

Dataset task manager for machine learning

Components

Build from a handful of drag-and-drop components

Table display details about datasets like their status, notes, start times, and ids in a table.

Button take action on datasets with buttons for creating, refreshing, clearing, and ending data processing tasks.

Dropdown add dropdown buttons so that team members can select and process datasets.

Data source

To manage your machine learning datasets, you’ll need to connect to a data store where datasets reside. With Retool, you can connect to dozens of data stores out of the box.