6aa0f1f4e275098948d4b312530119e5d95b8884,ot/da.py,,jcpot_barycenter,#,749

Before Change


        M = dist(Xs[d], Xt, metric=metric)
        M = M / np.median(M)

        dom["K"] = np.exp(-M/reg)

        all_domains.append(dom)

    distribT = unif(np.shape(Xt)[0])

After Change


        log["all_domains"] = all_domains
        return couplings, bary, log
    else:
        return couplings, bary


def distribution_estimation_uniform(X):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: rflamary/POT
Commit Name: 6aa0f1f4e275098948d4b312530119e5d95b8884
Time: 2020-03-31
Author: ievgen.redko@univ-st-etienne.fr
File Name: ot/da.py
Class Name:
Method Name: jcpot_barycenter


Project Name: tensorflow/privacy
Commit Name: cec011e2a797a32a9b102a69d2d799256de7ca98
Time: 2020-06-08
Author: galenandrew@google.com
File Name: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py
Class Name: QuantileAdaptiveClipSumQuery
Method Name: get_noised_result


Project Name: carpedm20/ENAS-pytorch
Commit Name: 92c6ee78097c4c19837005168f77111e78dcbf0b
Time: 2018-03-04
Author: dukebw@mcmaster.ca
File Name: trainer.py
Class Name: Trainer
Method Name: train_shared