@hackage / dataframe-learn

Interpretable, expression-returning machine learning for the dataframe ecosystem.

Latest1.1.0.1

About

Metadata

  • Last updated , by mchav
  • License MIT

  • Maintained by: mschavinda@gmail.com

  • Lottery factor: 1

Links

Installation

Tested Compilers

  1. 9.12.2
  2. 9.10.3
  3. 9.8.4
  4. 9.6.7
  5. 9.4.8

Readme

A small scikit-learn-style ML library where every model returns both an inspectable record and dataframe Expr value(s): linearridgelasso/ elastic-net and logistic regression, linear and RFF-kernel SVMs, decision trees, gradient boosting and AdaBoost, PCA and Nyström kernel PCA, k-means, Gaussian mixtures, DBSCAN, and symbolic regression — plus cross-validation and grid search. Pure Haskell, built on dataframe-operations.