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grid.py
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grid.py
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"""Matrix / grid of parameters to be run in experiments."""
import collections
def pgrid():
"""Return the grid of parameter for the simulations."""
sigma = 3
orders = [1, 2, 4]
grid = []
sigma_noises = [0, 0.5, 1, 1.5, 2]
for order in orders:
for sigma_noise in sigma_noises:
grid.append((sigma, order, sigma_noise))
return grid
def egrid():
experiment = collections.namedtuple('experiment', 'name kwargs')
experiments = []
experiments.append(experiment('no_stat_cheby',{'conv': 'chebyshev5', 'statistics': None, 'dropout': 0.5}))
experiments.append(experiment('no_stat_monomial',{'conv': 'monomials', 'statistics': None, 'dropout': 0.5}))
experiments.append(experiment('mean_cheby',{'conv': 'chebyshev5', 'statistics': 'mean', 'dropout': 0.5}))
experiments.append(experiment('mean_monomial',{'conv': 'monomials', 'statistics': 'mean', 'dropout': 0.5}))
experiments.append(experiment('var_cheby',{'conv': 'chebyshev5', 'statistics': 'var', 'dropout': 0.5}))
experiments.append(experiment('var_monomial',{'conv': 'monomials', 'statistics': 'var', 'dropout': 0.5}))
experiments.append(experiment('meanvar_cheby',{'conv': 'chebyshev5', 'statistics': 'meanvar', 'dropout': 0.5}))
experiments.append(experiment('meanvar_monomial',{'conv': 'monomials', 'statistics': 'meanvar', 'dropout': 0.5}))
experiments.append(experiment('histogram_cheby',{'conv': 'chebyshev5', 'statistics': 'histogram', 'dropout': 0.5}))
experiments.append(experiment('histogram_monomial',{'conv': 'monomials', 'statistics': 'histogram', 'dropout': 0.5}))
experiments.append(experiment('mean_cheby_no_dropout',{'conv': 'chebyshev5', 'statistics': 'mean', 'dropout': 1}))
experiments.append(experiment('mean_monomial_no_dropout',{'conv': 'monomials', 'statistics': 'mean', 'dropout': 1}))
experiments.append(experiment('var_cheby_no_dropout',{'conv': 'chebyshev5', 'statistics': 'var', 'dropout': 1}))
experiments.append(experiment('var_monomial_no_dropout',{'conv': 'monomials', 'statistics': 'var', 'dropout': 1}))
experiments.append(experiment('meanvar_cheby_no_dropout',{'conv': 'chebyshev5', 'statistics': 'meanvar', 'dropout': 1}))
experiments.append(experiment('meanvar_monomial_no_dropout',{'conv': 'monomials', 'statistics': 'meanvar', 'dropout': 1}))
experiments.append(experiment('histogram_cheby_no_dropout',{'conv': 'chebyshev5', 'statistics': 'histogram', 'dropout': 1}))
experiments.append(experiment('histogram_monomial_no_dropout',{'conv': 'monomials', 'statistics': 'histogram', 'dropout': 1}))
return experiments