This is your work, valued

Boston, MA

William La Cava

Expert
@lacava

Assistant Prof at Harvard Medical School developing ML for applications in biomedical informatics. I run the @cavalab at Boston Children's Hospital

few. a feature engineering wrapper for sklearn

53

ellen. linear genetic programming system for symbolic regression and classification.

36

ode-strogatz. A benchmark set of 2-state nonlinear ordinary differential equations adapted from Strogatz's book "Nonlinear Dynamics and Chaos"

13

fair_gp. Genetic programming approaches to learning fair classifiers

2

paper-srbench. Paper support the SRBench project

2

gecco_2019. Code to reproduce the paper "Semantic variation operators for multidimensional genetic programming"

2

epsilon_lexicase. epsilon lexicase journal paper

2

LocallyWeightedFusion. Locally weighted ensemble of multiple estimators.

2

gpem_2019. Supporting information for the paper "Learning feature spaces for regression with genetic programming"

1

iclr_2019. Jupyter Notebook

1

DistanceClassifier. a simple distance-based classifier.

1

EC. Evaporative Cooling with ReliefF and Random Jungle

1