Project description

FastEMC

Fast Exponential Monte Carlo

FastEMC is a modified version of exponential Monte Carlo. FastEMC takes class features and labels as input, and returns a list of scores and a list of selected features. The score is based on logistic regression. Two logistic regression classifiers are used:

a fast classifier with limited training,
and a slow classifier with full training.

The fast classifier is used to explore feature space rapidly. Features are occasionaly compared using the slow classifier.

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0.0.6

Nov 2, 2019

0.0.5

Nov 2, 2019

0.0.4

Nov 2, 2019

0.0.3

Oct 30, 2019

0.0.2

Oct 29, 2019

This version

0.0.1

Oct 28, 2019

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