Python keras.constraints 模块，nonneg() 实例源码

我们从Python开源项目中，提取了以下6个代码示例，用于说明如何使用keras.constraints.nonneg()。

项目：keras 作者：GeekLiB | 项目源码 | 文件源码

def test_nonneg():
    nonneg_instance = constraints.nonneg()
    normed = nonneg_instance(K.variable(example_array))
    assert(np.all(np.min(K.eval(normed), axis=1) == 0.))

项目：keras-recommendation 作者：sonyisme | 项目源码 | 文件源码

def test_nonneg(self):
        from keras.constraints import nonneg

        nonneg_instance = nonneg()

        normed = nonneg_instance(self.example_array)
        assert (np.all(np.min(normed.eval(), axis=1) == 0.))

项目：keras-customized 作者：ambrite | 项目源码 | 文件源码

def test_nonneg():
    nonneg_instance = constraints.nonneg()
    normed = nonneg_instance(K.variable(example_array))
    assert(np.all(np.min(K.eval(normed), axis=1) == 0.))

项目：keras 作者：NVIDIA | 项目源码 | 文件源码

def test_nonneg():
    nonneg_instance = constraints.nonneg()
    normed = nonneg_instance(K.variable(example_array))
    assert(np.all(np.min(K.eval(normed), axis=1) == 0.))

项目：deep-coref 作者：clarkkev | 项目源码 | 文件源码

def test_nonneg(self):
        from keras.constraints import nonneg

        nonneg_instance = nonneg()

        normed = nonneg_instance(self.example_array)
        assert (np.all(np.min(normed.eval(), axis=1) == 0.))

项目：RecommendationSystem 作者：TURuibo | 项目源码 | 文件源码

def test_nonneg(self):
        from keras.constraints import nonneg

        nonneg_instance = nonneg()

        normed = nonneg_instance(self.example_array)
        assert (np.all(np.min(normed.eval(), axis=1) == 0.))