Doctorado-ML/stree
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Second try, finished?

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This commit is contained in:
Ricardo Montañana Gómez
2020-05-18 12:55:00 +02:00
parent e52cbbb192
commit 382ae921ab
2 changed files with 13 additions and 19 deletions
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16
tests/Stree_test.py
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@@ -148,7 +148,7 @@ class Stree_test(unittest.TestCase):
yp = self._clf.predict_proba(X[28, :].reshape(-1, X.shape[1]))
self.assertEqual(0, yp[0:, 0])
self.assertEqual(1, y[28])
self.assertEqual(0.9282970550576184, yp[0:, 1])
self.assertEqual(0.29026400765649235, yp[0, 1])
def test_multiple_predict_proba(self):
# First 27 elements the predictions are the same as the truth
@@ -156,16 +156,16 @@ class Stree_test(unittest.TestCase):
X, y = self._get_Xy()
yp = self._clf.predict_proba(X[:num, :])
self.assertListEqual(y[:num].tolist(), yp[:, 0].tolist())
expected_proba = [0.9759887, 0.92829706, 0.9759887, 0.92829706, 0.92829706, 0.9759887,
0.92829706, 0.9759887, 0.9759887, 0.9759887, 0.9759887, 0.92829706,
0.92829706, 0.9759887, 0.92829706, 0.92829706, 0.92829706, 0.92829706,
0.9759887, 0.92829706, 0.9759887, 0.92829706, 0.92829706, 0.92829706,
0.92829706, 0.92829706, 0.9759887]
expected_proba = [0.88395641, 0.36746962, 0.84158767, 0.34106833, 0.14269291, 0.85193236,
0.29876058, 0.7282164, 0.85958616, 0.89517877, 0.99745224, 0.18860349,
0.30756427, 0.8318412, 0.18981198, 0.15564624, 0.25740655, 0.22923355,
0.87365959, 0.49928689, 0.95574351, 0.28761257, 0.28906333, 0.32643692,
0.29788483, 0.01657364, 0.81149083]
self.assertListEqual(expected_proba, np.round(yp[:, 1], decimals=8).tolist())
def build_models(self):
"""Build and train two models, model_clf will use the sklearn classifier to
compute predictions and split data. model_computed will use vector of
"""Build and train two models, model_clf will use the sklearn classifier to
compute predictions and split data. model_computed will use vector of
coefficients to compute both predictions and splitted data
"""
model_clf = Stree(random_state=self._random_state,