Compared to other regression techniques, GPR is especially useful when there is limited training data. There are several tools and code libraries that you can use to create a GPR model. The ...

The scikit MLPRegressor neural network module is the most powerful scikit technique for regression problems, but the technique requires lots of labeled training data (typically at least 100 items).

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8.3. Regression diagnostics¶. Like R, Statsmodels exposes the residuals. That is, keeps an array containing the difference between the observed values Y and the values predicted by the linear model. A ...