本文整理汇总了Python中pylearn2.datasets.dense_design_matrix.DenseDesignMatrix.iterator方法的典型用法代码示例。如果您正苦于以下问题:Python DenseDesignMatrix.iterator方法的具体用法?Python DenseDesignMatrix.iterator怎么用?Python DenseDesignMatrix.iterator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.iterator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_finitedataset_source_check
# 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 iterator [as 别名]
def test_finitedataset_source_check():
"""
Check that the FiniteDatasetIterator returns sensible
errors when there is a missing source in the dataset.
"""
dataset = DenseDesignMatrix(X=np.random.rand(20,15).astype(theano.config.floatX),
y=np.random.rand(20,5).astype(theano.config.floatX))
assert_raises(ValueError,
dataset.iterator,
mode='sequential',
batch_size=5,
data_specs=(VectorSpace(15),'featuresX'))
try:
dataset.iterator(mode='sequential',
batch_size=5,
data_specs=(VectorSpace(15),'featuresX'))
except ValueError as e:
assert 'featuresX' in str(e)