Library for integrated use of H2O with Hyperopt
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Updated
Aug 12, 2016 - HTML
Library for integrated use of H2O with Hyperopt
Automatic data preprocessing and optimization of the MLP architecture
Python code for bayesian optimization using Gaussian processes
optimization routines for hyperparameter tuning
Code for optimizing hyperparameters of Scikit-learn models
The source code for my entry to the ML challenge organised at Flipkart.com
hyper-parameter optimization directly from code
Parallel bayesian optimization with random search
Machine Learning engine generates predictions given any dataset using regression
Bayesian optimization of hyperparameters applied to ensemble generation
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Deep Learning Specialization (Prof. Andrew Ng): Course 2
Optimising ANN architecture using genetic algorithm.
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
An sklearn type class for testing multiple models on data with sequential hyper-parameter tuning for the models
Markdown guides and sample code for various hyperparameter search packages.
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