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-rw-r--r--examples/plot_OTDA_color_images.py2
-rw-r--r--examples/plot_OTDA_mapping_color_images.py2
-rw-r--r--examples/plot_optim_OTreg.py3
3 files changed, 7 insertions, 0 deletions
diff --git a/examples/plot_OTDA_color_images.py b/examples/plot_OTDA_color_images.py
index a8861c6..75ac5b6 100644
--- a/examples/plot_OTDA_color_images.py
+++ b/examples/plot_OTDA_color_images.py
@@ -48,6 +48,7 @@ def mat2im(X, shape):
"""Converts back a matrix to an image"""
return X.reshape(shape)
+
X1 = im2mat(I1)
X2 = im2mat(I2)
@@ -102,6 +103,7 @@ X2te = da_entrop.predict(X2, -1)
def minmax(I):
return np.clip(I, 0, 1)
+
I1t = minmax(mat2im(X1t, I1.shape))
I2t = minmax(mat2im(X2t, I2.shape))
diff --git a/examples/plot_OTDA_mapping_color_images.py b/examples/plot_OTDA_mapping_color_images.py
index 85c4b6b..9710461 100644
--- a/examples/plot_OTDA_mapping_color_images.py
+++ b/examples/plot_OTDA_mapping_color_images.py
@@ -48,6 +48,7 @@ def mat2im(X, shape):
"""Converts back a matrix to an image"""
return X.reshape(shape)
+
X1 = im2mat(I1)
X2 = im2mat(I2)
@@ -85,6 +86,7 @@ pl.tight_layout()
def minmax(I):
return np.clip(I, 0, 1)
+
# LP problem
da_emd = ot.da.OTDA() # init class
da_emd.fit(xs, xt) # fit distributions
diff --git a/examples/plot_optim_OTreg.py b/examples/plot_optim_OTreg.py
index e38253c..276b250 100644
--- a/examples/plot_optim_OTreg.py
+++ b/examples/plot_optim_OTreg.py
@@ -44,6 +44,7 @@ def f(G):
def df(G):
return G
+
reg = 1e-1
Gl2 = ot.optim.cg(a, b, M, reg, f, df, verbose=True)
@@ -61,6 +62,7 @@ def f(G):
def df(G):
return np.log(G) + 1.
+
reg = 1e-3
Ge = ot.optim.cg(a, b, M, reg, f, df, verbose=True)
@@ -78,6 +80,7 @@ def f(G):
def df(G):
return G
+
reg1 = 1e-3
reg2 = 1e-1