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Creation of a Taylorplot for several machine learning models
Here we present the lines of code for creating a taylor plot with python to display several machine learning models. We show the solution for displaying 10 models, but the list and number can be changed simply by modifying the sample list.
Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy
Henry is an interface for Taylor 1.4.3 package (A. Jorba & M. Zou) and was written for master thesis to compute N-body problems (in Poincare variables) and MEGNO stability factor. Work is supported by Krzysztof Gozdziewski.
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