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scikit-learn classification and ensembling

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Automatic Classification – Tagging and Summarization – Customizable Filtering and Analysis

If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."

However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …

Hyperparameter Search With GPyOpt: Part 1 – Scikit-learn Classification and Ensembling - Machine Learning Applied

#artificialintelligenceApr-3-2020, 13:05:29 GMT

GPyOpt is a Python open-source library for Bayesian Optimization developed by the Machine Learning group of the University of Sheffield. It is based on GPy, a Python framework for Gaussian process modelling. In this article, we demonstrate how to use this package to do hyperparameter search for a classification problem with Scikit-learn. Below are code fragments showing how to integrate the package with Scikit-learn. We begin by specifying if the problem is one of minimization or maximization.

hyperparameter search, machine learning applied, scikit-learn classification and ensembling, (9 more...)

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Technology: Information Technology > Artificial Intelligence > Machine Learning (1.00)

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