Package nltk :: Package classify :: Module mallet

Module mallet

A set of functions used to interface with the external Mallet machine learning package. Before mallet can be used, you should tell NLTK where it can find the mallet package, using the config_mallet() function. Typical usage:

>>> import nltk
>>> nltk.config_mallet('.../path/to/mallet')

Functions

[hide private]

Configuration

config_mallet(mallet_home=None)
Configure NLTK's interface to the mallet machine learning package. source code

call_mallet(cmd, classpath=None, stdin=None, stdout=None, stderr=None, blocking=True)
Call nltk.internals.java() with the given command, and with the classpath modified to include both nltk.jar and all the .jar files defined by Mallet. source code

Variables

[hide private]

Configuration

_mallet_home = None

_mallet_classpath = None

Function Details

[hide private]

config_mallet(mallet_home=None)

source code

Configure NLTK's interface to the mallet machine learning package.

Parameters:

mallet_home (string) - The full path to the mallet directory. If not specified, then nltk will search the system for a mallet directory; and if one is not found, it will raise a LookupError exception.

call_mallet(cmd, classpath=None, stdin=None, stdout=None, stderr=None, blocking=True)

source code

Call nltk.internals.java() with the given command, and with the classpath modified to include both nltk.jar and all the .jar files defined by Mallet.

See nltk.internals.java() for parameter and return value descriptions.