8a6ecfdb1759ad2f67492a983ec5f90b5c5dd3ae,brainiak/reprsimil/brsa.py,GBRSA,_set_SNR_grids,#GBRSA#,4087
Before Change
log_SNR_grids = ((np.arange(self.SNR_bins)
- (self.SNR_bins - 1) / 2)) \
/ self.SNR_bins * self.logS_range * 6
SNR_grids = np.exp(log_SNR_grids)
log_SNR_grids_upper = log_SNR_grids + self.logS_range * 3 \
/ self.SNR_bins
SNR_weights = np.empty(self.SNR_bins)
SNR_weights[1:-1] = np.diff(
After Change
lb=bounds[i], ub=bounds[i + 1]) * self.SNR_bins
// Center of mass of each segment between consecutive
// bounds are set as the grids for SNR.
SNR_weights = np.ones(self.SNR_bins) / self.SNR_bins
else: // SNR_prior == "exp"
SNR_grids = self._bin_exp(self.SNR_bins)
SNR_weights = np.ones(self.SNR_bins) / self.SNR_bins
SNR_weights = SNR_weights / np.sum(SNR_weights)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances Project Name: brainiak/brainiak
Commit Name: 8a6ecfdb1759ad2f67492a983ec5f90b5c5dd3ae
Time: 2017-08-30
Author: lcnature@users.noreply.github.com
File Name: brainiak/reprsimil/brsa.py
Class Name: GBRSA
Method Name: _set_SNR_grids
Project Name: cornellius-gp/gpytorch
Commit Name: 0b056a895e7729f6ade61a30e9fcb853dc4e371e
Time: 2019-04-05
Author: jrg365@cornell.edu
File Name: test/examples/test_white_noise_regression.py
Class Name: TestWhiteNoiseGPRegression
Method Name: test_posterior_latent_gp_and_likelihood_without_optimization
Project Name: cornellius-gp/gpytorch
Commit Name: 0b056a895e7729f6ade61a30e9fcb853dc4e371e
Time: 2019-04-05
Author: jrg365@cornell.edu
File Name: test/examples/test_white_noise_regression.py
Class Name: TestWhiteNoiseGPRegression
Method Name: test_posterior_latent_gp_and_likelihood_with_optimization