How to Use neptune.ai to Track Experimentation: An Example With Structured Data and XGBoost
What will you learn?
How you can use Neptune to track experimentation on the example with structured data and XGBoost.
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How to add Neptune to your training scripts?
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The model training script
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The neptune.init method
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The run object is a handler to the run in Neptune
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Neptune + XGBoost integration
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Pass the Neptune callback to the XGBoost train to log metadata automatically during training
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Download the trained model from Neptune
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How does logged metadata look like in Neptune?
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The dashboard can be composed of multiple metrics logged to the run
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Make use of the hierarchical structure of the run
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Log images, such as feature importances of visualized trees
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The metrics tracked during the run are visualized as interactive charts
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Use the dashboard to analyze the run from multiple points of view
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The dashboards are interactive and can be composed of multiple widgets
Important: This video was created in November 2021. For the most up-to-date code examples, please refer to the Neptune docs.
Other useful resources
Learn also about API reference: XGBoost integration.
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