Description:

This Python library, libmind, aims to solve the problem in Machine Learning of processing sequences of inputs instead of a fixed size vector that many algorithms requires to perform classification or regression and also providing a minimalist interface to learn and predict sequences in almost any domain.

The basic idea is to use an Echo State Network to generate a single fixed size vector in R^n from a sequence of inputs of vectors in R^k. Then, we can use this representation to perform some kind of classification or regression. Also, a dual procedure can be used to reconstruct a sequence of vectors in R^k from a fixed size vector in R^n.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Agnostic

Tags: Svm, Reservoir Computing, Association

Archive: download here

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