Structure, sample, and savor hyperparameter searches
Project description
pyrameter
pyrameter
is a library for designing hierarchical parameter searches with
continuous and discrete domains, and then search those spaces.
Installation
$ git clone https://github.com/jeffkinnison/pyrameter
$ cd pyrameter
$ pip install .
Dependencies
numpy
scipy
scikit-learn
pymongo
dill
six
A Short Example
import math
import pyrameter
# Minimize the sin function
def objective(params):
return math.sin(params['x'])
# Uniformly sample values over [0, pi]
space = {
'x': pyrameter.uniform(0, math.pi),
}
# Set up the search with an experiment key, the domains to search, and
# random search to generate values.
opt = pyrameter.FMin('sin_exp', space, 'random')
# Try 1000 values of x and store the result.
for i in range(1000):
trial = opt.generate()
trial.objective = objective(trial.hyperparameters)
# Print the x that minimized sin
print(opt.optimum)
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