I am new to pymc3 and gaussian process. I try to do a simple gaussian process with 2D inputs (i.e. X has 2 columns) and 1D output (i.e. y has 1 column). My code is like this: import pymc3 as pm import theano import theano.tensor as tt import numpy as np import matplotlib.pyplot as plt from mp…

Please use this to format code https://help.github.com/articles/basic-writing-and-formatting-syntax/#quoting-code and https://help.github.com/articles/creating-and-highlighting-code-blocks/ It looks like this import something_useful import more x = 4 with format as f:

Did the error resolved…?..If yes can you share the code…Thanks in advance

Hi, you can check this notebook of Multidimensional GP with 2 predictors from Chris Fonnesbeck’s repos on this link I copy the model here: with pm.Model() as spatial_model: l = pm.HalfCauchy("l", beta=3, shape=(2,)) sf2 = pm.HalfCauchy("sf2", beta=3) sn2 = pm.HalfCauchy("sn2", bet…

Hi, thanks for helping me out…Also, is there any reference to study the heatmap of output (mean) of gaussian process with 2d input?

Gaussian Process with 2 dimension input

Questions

junpenglao November 28, 2018, 5:43am 3

There is an earlier discussion here: Cox Process in PyMC3

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Gaussian Process with 2 dimension input

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