1 files changed, 0 insertions, 112 deletions
diff --git a/docs/source/auto_examples/plot_OTDA_classes.py b/docs/source/auto_examples/plot_OTDA_classes.py
deleted file mode 100644
index 089b45b..0000000
--- a/docs/source/auto_examples/plot_OTDA_classes.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-========================
-OT for domain adaptation
-========================
-
-"""
-
-import matplotlib.pylab as pl
-import ot
-
-
-
-
-#%% parameters
-
-n=150 # nb samples in source and target datasets
-
-xs,ys=ot.datasets.get_data_classif('3gauss',n)
-xt,yt=ot.datasets.get_data_classif('3gauss2',n)
-
-
-
-
-#%% plot samples
-
-pl.figure(1)
-
-pl.subplot(2,2,1)
-pl.scatter(xs[:,0],xs[:,1],c=ys,marker='+',label='Source samples')
-pl.legend(loc=0)
-pl.title('Source  distributions')
-
-pl.subplot(2,2,2)
-pl.scatter(xt[:,0],xt[:,1],c=yt,marker='o',label='Target samples')
-pl.legend(loc=0)
-pl.title('target  distributions')
-
-
-#%% OT estimation
-
-# LP problem
-da_emd=ot.da.OTDA()     # init class
-da_emd.fit(xs,xt)       # fit distributions
-xst0=da_emd.interp()    # interpolation of source samples
-
-
-# sinkhorn regularization
-lambd=1e-1
-da_entrop=ot.da.OTDA_sinkhorn()
-da_entrop.fit(xs,xt,reg=lambd)
-xsts=da_entrop.interp()
-
-# non-convex Group lasso regularization
-reg=1e-1
-eta=1e0
-da_lpl1=ot.da.OTDA_lpl1()
-da_lpl1.fit(xs,ys,xt,reg=reg,eta=eta)
-xstg=da_lpl1.interp()
-
-
-# True Group lasso regularization
-reg=1e-1
-eta=2e0
-da_l1l2=ot.da.OTDA_l1l2()
-da_l1l2.fit(xs,ys,xt,reg=reg,eta=eta,numItermax=20,verbose=True)
-xstgl=da_l1l2.interp()
-
-
-#%% plot interpolated source samples
-pl.figure(4,(15,8))
-
-param_img={'interpolation':'nearest','cmap':'jet'}
-
-pl.subplot(2,4,1)
-pl.imshow(da_emd.G,**param_img)
-pl.title('OT matrix')
-
-
-pl.subplot(2,4,2)
-pl.imshow(da_entrop.G,**param_img)
-pl.title('OT matrix sinkhorn')
-
-pl.subplot(2,4,3)
-pl.imshow(da_lpl1.G,**param_img)
-pl.title('OT matrix non-convex Group Lasso')
-
-pl.subplot(2,4,4)
-pl.imshow(da_l1l2.G,**param_img)
-pl.title('OT matrix Group Lasso')
-
-
-pl.subplot(2,4,5)
-pl.scatter(xt[:,0],xt[:,1],c=yt,marker='o',label='Target samples',alpha=0.3)
-pl.scatter(xst0[:,0],xst0[:,1],c=ys,marker='+',label='Transp samples',s=30)
-pl.title('Interp samples')
-pl.legend(loc=0)
-
-pl.subplot(2,4,6)
-pl.scatter(xt[:,0],xt[:,1],c=yt,marker='o',label='Target samples',alpha=0.3)
-pl.scatter(xsts[:,0],xsts[:,1],c=ys,marker='+',label='Transp samples',s=30)
-pl.title('Interp samples Sinkhorn')
-
-pl.subplot(2,4,7)
-pl.scatter(xt[:,0],xt[:,1],c=yt,marker='o',label='Target samples',alpha=0.3)
-pl.scatter(xstg[:,0],xstg[:,1],c=ys,marker='+',label='Transp samples',s=30)
-pl.title('Interp samples non-convex Group Lasso')
-
-pl.subplot(2,4,8)
-pl.scatter(xt[:,0],xt[:,1],c=yt,marker='o',label='Target samples',alpha=0.3)
-pl.scatter(xstgl[:,0],xstgl[:,1],c=ys,marker='+',label='Transp samples',s=30)
-pl.title('Interp samples Group Lasso')
-\ No newline at end of file