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Finish TP3 exo1 for real.
[TP_AA.git]
/
TP3
/
exo2
/
tp3_exo2.py
diff --git
a/TP3/exo2/tp3_exo2.py
b/TP3/exo2/tp3_exo2.py
index 2a831877d1afa81b9794af3a9cc89541789eb242..e1c03dde8b616335b18aad4f442c64af8f5e1e68 100755
(executable)
--- a/
TP3/exo2/tp3_exo2.py
+++ b/
TP3/exo2/tp3_exo2.py
@@
-28,7
+28,7
@@
def generateData2(n):
Generates a 2D linearly separable dataset with 2n samples.
The third element of the sample is the label
"""
Generates a 2D linearly separable dataset with 2n samples.
The third element of the sample is the label
"""
- xb = (rand(n) * 2 - 1) / 2
-
0.5
+ xb = (rand(n) * 2 - 1) / 2
+
0.5
yb = (rand(n) * 2 - 1) / 2
xr = (rand(n) * 2 - 1) / 2 + 1.5
yr = (rand(n) * 2 - 1) / 2 - 0.5
yb = (rand(n) * 2 - 1) / 2
xr = (rand(n) * 2 - 1) / 2 + 1.5
yr = (rand(n) * 2 - 1) / 2 - 0.5
@@
-132,8
+132,14
@@
def perceptron_k(X, Y, k):
return coeffs, support_set
return coeffs, support_set
-print(perceptron_k(X, Y, k1))
-# print(perceptron_k(X, Y, kg))
+def f(x, y, w):
+ return
+
+
+coeffs, support_set = perceptron_k(X, Y, k1)
+# coeffs, support_set = perceptron_k(X, Y, kg)
+print(coeffs)
+print(support_set)
X = apply_plongement(X, plongement_phi)
w = perceptron_nobias(X, Y)
X = apply_plongement(X, plongement_phi)
w = perceptron_nobias(X, Y)