mlpack.matrix_utils Namespace Reference

Functions
def	to_matrix (x, dtype=np.double, copy=False)
def	to_matrix_with_info (x, dtype, copy=False)

Variables
	UNICODE_EXISTS = bool(type(unicode))
	unicode = str
	BUFFER_EXISTS = bool(type(buffer))
	buffer = memoryview

Detailed Description

matrix_utils.py: utilities for matrix conversion

This file defines the to_matrix() function, which can be used to convert Pandas
dataframes or other types of array-like objects to numpy ndarrays for use in
mlpack bindings.

mlpack is free software; you may redistribute it and/or modify it under the
terms of the 3-clause BSD license.  You should have received a copy of the
3-clause BSD license along with mlpack.  If not, see
http://www.opensource.org/licenses/BSD-3-Clause for more information.

Function Documentation

to_matrix()

def mlpack.matrix_utils.to_matrix	(		x,
			dtype = np.double,
			copy = False
	)

Given some array-like X, return a numpy ndarray of the same type.

to_matrix_with_info()

def mlpack.matrix_utils.to_matrix_with_info	(		x,
			dtype,
			copy = False
	)

Given some array-like X (which should be either a numpy ndarray or a pandas
DataFrame), convert it into a numpy matrix of the given dtype.