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| author | Rémi Flamary <remi.flamary@gmail.com> | 2016-10-28 12:50:54 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2016-10-28 12:50:54 +0200 |
| commit | 9523b1e95ed7c117554ff673532d150841092137 (patch) | |
| tree | 1ed5b5060b3b59e79ca2e286058162cdd51c3b75 /ot/bregman.py | |
| parent | f33087d2b1790dac773782bb0d91bcfe7ce6a079 (diff) | |
doc datasets.py
Diffstat (limited to 'ot/bregman.py')
| -rw-r--r-- | ot/bregman.py | 14 |
1 files changed, 4 insertions, 10 deletions
diff --git a/ot/bregman.py b/ot/bregman.py index 9183bea..ad9a67a 100644 --- a/ot/bregman.py +++ b/ot/bregman.py @@ -276,14 +276,6 @@ def unmix(a,D,M,M0,h0,reg,reg0,alpha,numItermax = 1000, stopThr=1e-3,verbose=Fal The optimization problem is solved suing the algorithm described in [4] - - distrib : distribution to unmix - D : Dictionnary - M : Metric matrix in the space of the distributions to unmix - M0 : Metric matrix in the space of the 'abundance values' to solve for - h0 : prior on solution (generally uniform distribution) - reg,reg0 : transport regularizations - alpha : how much should we trust the prior ? ([0,1]) Parameters ---------- @@ -300,7 +292,9 @@ def unmix(a,D,M,M0,h0,reg,reg0,alpha,numItermax = 1000, stopThr=1e-3,verbose=Fal reg: float Regularization term >0 (Wasserstein data fitting) reg0: float - Regularization term >0 (Wasserstein reg with h0) + Regularization term >0 (Wasserstein reg with h0) + alpha: float + How much should we trust the prior ([0,1]) numItermax: int, optional Max number of iterations stopThr: float, optional @@ -318,7 +312,7 @@ def unmix(a,D,M,M0,h0,reg,reg0,alpha,numItermax = 1000, stopThr=1e-3,verbose=Fal log: dict log dictionary return only if log==True in parameters - References + References ---------- .. [4] S. Nakhostin, N. Courty, R. Flamary, D. Tuia, T. Corpetti, Supervised planetary unmixing with optimal transport, Whorkshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2016. |