Gridsearch Python Packages

pynets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

dashifyml

A lightweight tool to manage and track your large scale machine leaning experiments

keras-grid-search-cacheable

Reducción de tiempo de ejecución de los algoritmos de Machine Learning con búsqueda de parámetros en GridSearch.

logiprune

Propositional structure recovery and truth table entropy for hyperparameter search space pruning. Two papers, one library.