Coniferous forests for better machine learning

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  • License: MIT License (MIT)
  • Author: SNAD team
  • Requires: Python >=3.7
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coniferest

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Package for active anomaly detection with isolation forests, made by SNAD collaboration.

It includes:

  • IsolationForest - reimplementation of scikit-learn's isolation forest with much better scoring performance.
  • AADForest - reimplementation of Active Anomaly detection algorithm with isolation forests from Shubhomoy Das' ad_examples package with better performance, much less code and more flexible dependencies.
  • PineForest - our own active learning model based on the idea of tree filtering.

Install the package with pip install coniferest.

See the documentation for the Tutorial.

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0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

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0.0.10

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