Implement the algorithm yourself, first, in Python+Numpy. The only reason I feel comfortable with Gaussian Processes and SVMs is due to writing code to solve them manually.
Once you're happy with the basics, and can test your ideas with code you intimately understand, optimise for speed by using a library like this.
Implement the algorithm yourself, first, in Python+Numpy. The only reason I feel comfortable with Gaussian Processes and SVMs is due to writing code to solve them manually.
Once you're happy with the basics, and can test your ideas with code you intimately understand, optimise for speed by using a library like this.