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Creation of a Taylorplot for several machinelearning models
Here we present the lines of code for creating a taylor plot with python to display several machinelearning models. We show the solution for displaying 10 models, but the list and number can be changed simply by modifying the sample list.
Visual regression tool used to compare baseline and updated instances
...The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation MachineLearning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. FRED is designed to be scalable. It has an internal queue and can process websites in parallel depending on the amount of RAM and CPUs (or GPUs) available.