[P] Bonsai: Bayesian Optimization for Gradient Boosted Trees

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Optimization gaussian-processes bayesian-optimization Python Simple

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  • bonsai

    Gradient Boosted Trees + Bayesian Optimization (by magi-1)

    • Github: Bonsai

  • BayesianOptimization

    A Python implementation of global optimization with gaussian processes.

    • Sure, I’m only aware of the Bayesian Optimization package (https://github.com/fmfn/BayesianOptimization), but if you can recommend some other GP-based methods that integrate well with Gradient boosted machines, that would be nice.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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