本文整理汇总了Python中pylearn2.datasets.dense_design_matrix.DenseDesignMatrix.axes方法的典型用法代码示例。如果您正苦于以下问题：Python DenseDesignMatrix.axes方法的具体用法？Python DenseDesignMatrix.axes怎么用？Python DenseDesignMatrix.axes使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pylearn2.datasets.dense_design_matrix.DenseDesignMatrix的用法示例。
在下文中一共展示了DenseDesignMatrix.axes方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_random_image
# 需要导入模块: from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix [as 别名]
# 或者: from pylearn2.datasets.dense_design_matrix.DenseDesignMatrix import axes [as 别名]
def test_random_image(self):
"""
Test on a random image if the per-processor loads and works without
anyerror and doesn't result in any nan or inf values
"""
rng = np.random.RandomState([1, 2, 3])
X = as_floatX(rng.randn(5, 32 * 32 * 3))
axes = ["b", 0, 1, "c"]
view_converter = dense_design_matrix.DefaultViewConverter((32, 32, 3), axes)
dataset = DenseDesignMatrix(X=X, view_converter=view_converter)
dataset.axes = axes
preprocessor = LeCunLCN(img_shape=[32, 32])
dataset.apply_preprocessor(preprocessor)
result = dataset.get_design_matrix()
assert not np.any(np.isnan(result))
assert not np.any(np.isinf(result))