7 signs you need a run tracker for your Data Science team.

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A run tracker, you say? What is that? Simply put, it’s a tool that keeps a record of each run of your Machine Learning experiments. But what’s it good for? Read on to find out.

If you are doing the following, it’s a sign that you could benefit from using a run tracker.

  1. You are using a spreadsheet to track your parameters, hyperparameters and summary statistics.
  2. You can’t be certain which version of the data you were using when you got a particular result.
  3. Model accuracies sometimes change for no discernable reason.
  4. Picking up someone else’s work involves emailing things around and having several meetings.
  5. Sometimes it’s hard to be sure of the differences between how two models were created.
  6. It’s impossible to tell whether a change in output was caused by your runtime environment.
  7. You can’t easily go back to a previous state in your experiment.

Dotscience is a run tracker that keeps automatic track of your work as you go, allowing you to:

  • Track runs in Jupyter and scripts.
  • Compare and share run metrics
  • Track provenance of data and models
  • Deploy and statistically monitor models

Find out more about using Dotscience