This notebook shows the different steps for creating and using a standard GP regression model including. Three GPs namely gp_disturb_main_x gp_disturb_main_y and gp_disturb_main_z have to run simultaneously to perform the regression along the three body-axes. Nov 02 2020 A GP is a Gaussian distribution over functions that takes two parameters namely the mean m and the kernel function K to ensure smoothness.
Three GPs namely gp_disturb_main_x gp_disturb_main_y and gp_disturb_main_z have to run simultaneously to perform the regression along the three body-axes.
Uniform -3 3 num_samples 1 Y np. For this the prior of the GP needs to be specified. Is a geometric progression with common ratio 3. RegressionGP is a Gaussian process regression GPR model.
