Python onehot示例

示例#1

文件： test_preprocessing.py 项目： mylearning2017/deep-learning-book

 def test_dtype(self):
     oh_ary = onehot(ary=np.array([0, 1, 2]), dtype=np.int32)
     expect = np.array([[1, 0, 0],
                        [0, 1, 0],
                        [0, 0, 1]])
     self.assertTrue(np.array_equal(oh_ary, expect))
     self.assertTrue(oh_ary.dtype == np.int32)

示例#2

文件： test_preprocessing.py 项目： mylearning2017/deep-learning-book

 def test_skiplabel(self):
     oh_ary = onehot(ary=np.array([0, 1, 2, 3, 5]))
     expect = np.array([[1., 0., 0., 0., 0., 0.],
                        [0., 1., 0., 0., 0., 0.],
                        [0., 0., 1., 0., 0., 0.],
                        [0., 0., 0., 1., 0., 0.],
                        [0., 0., 0., 0., 0., 1.]])
     self.assertTrue(np.array_equal(oh_ary, expect))

示例#3

文件： test_preprocessing.py 项目： mylearning2017/deep-learning-book

 def test_defaults(self):
     oh_ary = onehot(ary=np.array([0, 1, 2, 3]))
     expect = np.array([[1., 0., 0., 0.],
                        [0., 1., 0., 0.],
                        [0., 0., 1., 0.],
                        [0., 0., 0., 1.]])
     self.assertTrue(np.array_equal(oh_ary, expect))
     self.assertTrue(oh_ary.dtype == np.float32)

示例#4

文件： test_preprocessing.py 项目： zorro2017zdc/deep-learning-book

 def test_dtype(self):
     oh_ary = onehot(ary=np.array([0, 1, 2]), dtype=np.int32)
     expect = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
     self.assertTrue(np.array_equal(oh_ary, expect))
     self.assertTrue(oh_ary.dtype == np.int32)

示例#5

文件： test_preprocessing.py 项目： zorro2017zdc/deep-learning-book

 def test_n_classes(self):
     oh_ary = onehot(ary=np.array([0, 1, 2]), n_classes=5)
     expect = np.array([[1., 0., 0., 0., 0.], [0., 1., 0., 0., 0.],
                        [0., 0., 1., 0., 0.]])
     self.assertTrue(np.array_equal(oh_ary, expect))

示例#6

文件： test_preprocessing.py 项目： zorro2017zdc/deep-learning-book

 def test_skiplabel(self):
     oh_ary = onehot(ary=np.array([0, 1, 2, 3, 5]))
     expect = np.array([[1., 0., 0., 0., 0., 0.], [0., 1., 0., 0., 0., 0.],
                        [0., 0., 1., 0., 0., 0.], [0., 0., 0., 1., 0., 0.],
                        [0., 0., 0., 0., 0., 1.]])
     self.assertTrue(np.array_equal(oh_ary, expect))

示例#7

文件： test_preprocessing.py 项目： zorro2017zdc/deep-learning-book

 def test_defaults(self):
     oh_ary = onehot(ary=np.array([0, 1, 2, 3]))
     expect = np.array([[1., 0., 0., 0.], [0., 1., 0., 0.],
                        [0., 0., 1., 0.], [0., 0., 0., 1.]])
     self.assertTrue(np.array_equal(oh_ary, expect))
     self.assertTrue(oh_ary.dtype == np.float32)

示例#8

文件： test_preprocessing.py 项目： mylearning2017/deep-learning-book

 def test_n_classes(self):
     oh_ary = onehot(ary=np.array([0, 1, 2]), n_classes=5)
     expect = np.array([[1., 0., 0., 0., 0.],
                        [0., 1., 0., 0., 0.],
                        [0., 0., 1., 0., 0.]])
     self.assertTrue(np.array_equal(oh_ary, expect))