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@freeman-lab freeman-lab released this 08 Jan 06:28
· 2100 commits to master since this release
v0.1.0
b4944b7

First development release, highlighting newly refactored four analysis packages (clustering, factorization, regression, and sigprocessing) and more extensive testing and documentation

Release notes:

General
Preprocessing an optional argument for all analysis scripts
Tests for accuracy for all analyses

Clustering
Max iterations and tolerance optional arguments for kmeans

Factorization
Unified singular value decomposition into one function with method option ("direct" or "em")
Made max iterations and tolerance optional arguments to ICA
Added random seed argument to ICA to faciliate testing

Regression
All functions use derivatives of a single RegressionModel or TuningModel class
Allow input to RegressionModel classes to be arrays or tuples for increased flexibility
Made regression-related arguments to tuning optional arguments

Signal processing
All functions use derivatives of a single SigProcessMethod class
Added crosscorr function

Thanks to many contributions from @JoshRosen!

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