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| author | Rémi Flamary <remi.flamary@gmail.com> | 2018-11-19 11:18:29 +0100 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2018-11-19 11:18:29 +0100 |
| commit | de04afc0f9f01fc09a3a8138865eacc0b6f4415d (patch) | |
| tree | 876662abd26be98d6b80af820792e993f0865b94 /ot/stochastic.py | |
| parent | 93db239e1156ad1db8edbb13c1ecde973ce009c0 (diff) | |
update flake8 parameters
Diffstat (limited to 'ot/stochastic.py')
| -rw-r--r-- | ot/stochastic.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/ot/stochastic.py b/ot/stochastic.py index 1376884..959c6fa 100644 --- a/ot/stochastic.py +++ b/ot/stochastic.py @@ -418,8 +418,8 @@ def solve_semi_dual_entropic(a, b, M, reg, method, numItermax=10000, lr=None, return None opt_alpha = c_transform_entropic(b, M, reg, opt_beta) - pi = (np.exp((opt_alpha[:, None] + opt_beta[None, :] - M[:, :]) / reg) - * a[:, None] * b[None, :]) + pi = (np.exp((opt_alpha[:, None] + opt_beta[None, :] - M[:, :]) / reg) * + a[:, None] * b[None, :]) if log: log = {} @@ -520,8 +520,8 @@ def batch_grad_dual(a, b, M, reg, alpha, beta, batch_size, batch_alpha, arXiv preprint arxiv:1711.02283. ''' - G = - (np.exp((alpha[batch_alpha, None] + beta[None, batch_beta] - - M[batch_alpha, :][:, batch_beta]) / reg) * + G = - (np.exp((alpha[batch_alpha, None] + beta[None, batch_beta] - + M[batch_alpha, :][:, batch_beta]) / reg) * a[batch_alpha, None] * b[None, batch_beta]) grad_beta = np.zeros(np.shape(M)[1]) grad_alpha = np.zeros(np.shape(M)[0]) @@ -702,8 +702,8 @@ def solve_dual_entropic(a, b, M, reg, batch_size, numItermax=10000, lr=1, opt_alpha, opt_beta = sgd_entropic_regularization(a, b, M, reg, batch_size, numItermax, lr) - pi = (np.exp((opt_alpha[:, None] + opt_beta[None, :] - M[:, :]) / reg) - * a[:, None] * b[None, :]) + pi = (np.exp((opt_alpha[:, None] + opt_beta[None, :] - M[:, :]) / reg) * + a[:, None] * b[None, :]) if log: log = {} log['alpha'] = opt_alpha |