looking for simple regression (or classification) library

This page summarizes the projects mentioned and recommended in the original post on /r/haskell

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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • HLearn-algebra

    Homomorphic machine learning

  • mltool

    Machine Learning Toolbox

  • 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.

    InfluxDB logo
  • HSvm

    Haskell bindings of libsvm library

  • I've used https://github.com/paulrzcz/HSvm (libsvm) for some things – if all you need is svm-like classification and your data is of the easily predictable kind (so you don't have to experiment much with different models), that might be enough (just m <- SVM.train (SVM.NuSvc 0.25) (SVM.RBF 1) trainFeats; prediction <- SVM.predict m inputFeats, remember to scale numbers to 0..1).

  • HaskellGBM

    A Haskell wrapper around LightGBM

  • Alternatively something like https://github.com/dpkatz/HaskellGBM – you can train a model in whatever language you want (or just on the command-line) and then easily use it from Haskell.

  • hasktorch

    Tensors and neural networks in Haskell

  • IF (big if) it turns out you do need deep learning then doing it in Hasktorch http://hasktorch.org/ could be a fun learning project. The team making it is super nice and responsive, too

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
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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