Hi, @cxhernandez @rmcgibbo @mpharrigan
I installed Ospray with conda, but would like to "merge/upgrade " with modified version from github: https://github.com/larsbratholm/osprey/ the commit - '4bfbb14'
How can I do that in my conda python 3.5 virtual env. ?
I see that cross_validators.py and others are different, so I am having error whilest trying to reproduce published paper results.
Thank you in advance and really appreciate your time.
= osprey is a tool for machine learning hyperparameter optimization. =
osprey version: 1.1.0
time: August 26, 2019 2:56 PM
hostname: xxx
cwd: /paper_si-master/osprey
pid: 3929
Loading config file: config1aK.yaml...
Loading dataset...
Dataset contains 21563 element(s) with out labels
The elements have shape: [(1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), (1,), ...]
Instantiated estimator:
@khatuka31, I'm moving your inquiry to a new issue