dataviews¶

microscopes.common.recarray.dataview¶

Dataviews for data structured in records

These represent heterogenous data type feature vectors, and are used as inputs to the mixturemodel model.

class microscopes.common.recarray.dataview.numpy_dataview¶

A dataview around a numpy recarray. Supports masked arrays.

Parameters:	npd : array

digest(self, h)¶

next(self)¶

size(self)¶

microscopes.common.relation.dataview¶

Dataviews for relation (tensor) data

These are the data inputs for the irm model.

class microscopes.common.relation.dataview.numpy_dataview¶

A numpy.ndarray dataview.

Parameters:	npd : array

Examples

>>> Y = np.array([[1, 2], [3, 4]])
>>> view = numpy_dataview(Y)
>>> print view.shape()
(2, 2)

digest(self, h)¶

shape(self)¶

toarray(self)¶

class microscopes.common.relation.dataview.sparse_2d_dataview¶

A scipy.sparse dataview

Parameters:	rep : a scipy.sparse matrix

Examples

>>> Y = scipy.sparse.coo_matrix((3, 4))
>>> view = sparse_2d_dataview(Y)
>>> print view.shape()
(3, 4)

digest(self, h)¶

shape(self)¶

tocoo(self)¶

tocsc(self)¶

tocsr(self)¶