本文整理汇总了Python中pylearn2.datasets.dense_design_matrix.DenseDesignMatrix.get_batch_design方法的典型用法代码示例。如果您正苦于以下问题:Python DenseDesignMatrix.get_batch_design方法的具体用法?Python DenseDesignMatrix.get_batch_design怎么用?Python DenseDesignMatrix.get_batch_design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.get_batch_design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: make_dataset
# 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 get_batch_design [as 别名]
def make_dataset(num_batches):
disturb_mem.disturb_mem()
m = num_batches*batch_size
X = rng.randn(m, num_features)
y = np.zeros((m,1))
y[:,0] = np.dot(X, w) > 0.
rval = DenseDesignMatrix(X=X, y=y)
rval.yaml_src = "" # suppress no yaml_src warning
X = rval.get_batch_design(batch_size)
assert X.shape == (batch_size, num_features)
return rval