ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event
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Updated
Feb 24, 2019 - Python
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
Hyperparameter config file generator.
Code that accompanies my talk at TF Dev Summit 2016
This repository contains my current model for the Housing Prices Kaggle competition.
DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***
Script Invariant Grid Search
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