ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event
This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.
Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
it provide better parameter choosing ability
This repository contains my current model for the Housing Prices Kaggle competition.
Hyperparameter config file generator.
DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***
Script Invariant Grid Search
Code that accompanies my talk at TF Dev Summit 2016
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