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Fix test apply cutpoints

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This commit is contained in:
Ricardo Montañana Gómez
2022-12-03 01:52:00 +01:00
parent b1f5d337fc
commit e99852c5d5
6 changed files with 91 additions and 65 deletions
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80
sample.py
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@@ -65,31 +65,37 @@ features = data.feature_names
# test.fit(X, y, features=features)
# test.transform(X)
# test.get_cut_points()
test = CFImdlp(debug=False, proposed=False)
# # k = test.cut_points(X[:, 0], y)
# # print(k)
# # k = test.cut_points_ant(X[:, 0], y)
# # print(k)
# # test.debug_points(X[:, 0], y)
# X = [5.7, 5.3, 5.2, 5.1, 5.0, 5.6, 5.1, 6.0, 5.1, 5.9]
# indices = [4, 3, 6, 8, 2, 1, 5, 0, 9, 7]
# y = [1, 1, 1, 1, 1, 2, 2, 2, 2, 2]
# # To check
# indices2 = np.argsort(X)
# Xs = np.array(X)[indices2]
# ys = np.array(y)[indices2]
test.fit(X[:, 0], y)
# test.fit(X, y)
result = test.get_cut_points()
# for item in result:
# print(
# f"Class={item['classNumber']} - ({item['start']:3d}, {item['end']:3d})"
# f" -> ({item['fromValue']:3.1f}, {item['toValue']:3.1f}]"
# )
print(test.get_discretized_values())
for proposed in [True, False]:
X = data.data
y = data.target
print("*** Proposed: ", proposed)
test = CFImdlp(debug=False, proposed=proposed)
test.fit(X[:, 0], y)
result = test.get_cut_points()
for item in result:
print(
f"Class={item['classNumber']} - ({item['start']:3d}, {item['end']:3d})"
f" -> ({item['fromValue']:3.1f}, {item['toValue']:3.1f}]"
)
print(test.get_discretized_values())
print("+" * 40)
X = np.array(
[
[5.1, 3.5, 1.4, 0.2],
[5.2, 3.0, 1.4, 0.2],
[5.3, 3.2, 1.3, 0.2],
[5.4, 3.1, 1.5, 0.2],
]
)
y = np.array([0, 0, 0, 1])
print(test.fit(X[:, 0], y).transform(X[:, 0]))
result = test.get_cut_points()
for item in result:
print(
f"Class={item['classNumber']} - ({item['start']:3d}, {item['end']:3d})"
f" -> ({item['fromValue']:3.1f}, {item['toValue']:3.1f}]"
)
print("*" * 40)
# print(Xs, ys)
# print("**********************")
# test = [(0, 3), (4, 4), (5, 5), (6, 8), (9, 9)]
@@ -102,13 +108,17 @@ print(test.get_discretized_values())
# print(indices)
# print(np.array(X)[indices])
X = np.array(
[
[5.1, 3.5, 1.4, 0.2],
[5.2, 3.0, 1.4, 0.2],
[5.3, 3.2, 1.3, 0.2],
[5.3, 3.1, 1.5, 0.2],
]
)
y = np.array([0, 0, 0, 1])
print(test.fit(X[:, 0], y).transform(X[:, 0]))
# # k = test.cut_points(X[:, 0], y)
# # print(k)
# # k = test.cut_points_ant(X[:, 0], y)
# # print(k)
# # test.debug_points(X[:, 0], y)
X = [5.7, 5.3, 5.2, 5.1, 5.0, 5.6, 5.1, 6.0, 5.1, 5.9]
indices = [4, 3, 6, 8, 2, 1, 5, 0, 9, 7]
# y = [1, 1, 1, 1, 1, 2, 2, 2, 2, 2]
# # To check
# indices2 = np.argsort(X)
Xs = np.array(X)[indices2]
ys = np.array(y)[indices2]