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| author | Rémi Flamary <remi.flamary@gmail.com> | 2017-07-05 17:11:17 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2017-07-05 17:11:17 +0200 |
| commit | 05765e26dec18697d9eb60ac5f3a7610af6ae8d2 (patch) | |
| tree | 9e429f1a984171f3b899b60ce740a419d9811bef /examples | |
| parent | 315d812b18fcb1170b4b84907b87aeaadaa9a196 (diff) | |
add FDA for comparison
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/plot_WDA.py | 13 |
1 files changed, 9 insertions, 4 deletions
diff --git a/examples/plot_WDA.py b/examples/plot_WDA.py index bbe3888..d2eaf6d 100644 --- a/examples/plot_WDA.py +++ b/examples/plot_WDA.py @@ -11,7 +11,7 @@ import numpy as np import matplotlib.pylab as pl import ot from ot.datasets import get_1D_gauss as gauss -from ot.dr import wda +from ot.dr import wda, fda #%% parameters @@ -36,7 +36,12 @@ pl.legend(loc=0) pl.title('Discriminant dimensions') -#%% plot distributions and loss matrix +#%% Comlpute FDA +p=2 + +Pfda,projfda = fda(xs,ys,p) + +#%% Compute WDA p=2 reg=1 k=10 @@ -46,8 +51,8 @@ P,proj = wda(xs,ys,p,reg,k,maxiter=maxiter) #%% plot samples -xsp=proj(xs) -xtp=proj(xt) +xsp=projfda(xs) +xtp=projfda(xt) pl.figure(1,(10,5)) |