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raamana/neuropredict: Much faster with more classifiers!

Pradeep Reddy Raamana; Kevin Le

  • Parallelizing the main the CV loop, leading to great reduction in total time for report generation!
  • More options, including choice of different classifiers (Random Forest and Extra Trees classifiers)
  • Support for dataset in Weka's ARFF format
  • Better visualizations (handling small/nan values in feature importance, layouts and design)
  • auto versioning!
  • Ability to read meta data from pyradigms or ARFF files, without having to specify that separately.
  • Dropping support for Python 2.7 :(
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