Description
How to Organize Your XGBoost #MachineLearning Model Development Process - Best Practices -
Summary
- See what our users are saying “What we like about Neptune is that it easily hooks into multiple frameworks.
- Ondřej Cífka PhD student in Music Information Processing at Télécom Paris “Within the first few tens of runs, I realized how complete the tracking was – not just one or two numbers, but also the exact state of the code, the best-quality model snapshot stored to the cloud, the ability to quickly add notes on a particular experiment.
- Visualization of the logged data could be improved, support for more advanced plotting would be nice, altough you can alway workaround that by sending pictures of charts.
- If you look for a simple, flexible and powerfull tool or you are tired of using excel sheets or tensorboard to track your results, neptune.ai is a good bet.