Package nltk :: Package tag :: Module crf :: Class CRFInfo

type CRFInfo

object --+
         |
        CRFInfo

An object used to record configuration information about a MalletCRF object. This configuration information can be serialized to an XML file, which can then be read by NLTK's custom interface to Mallet's CRF.

CRFInfo objects are typically created by the MalletCRF.train() method.

Advanced users may wish to directly create custom CRFInfo.WeightGroup objects and pass them to the MalletCRF.train() function. See CRFInfo.WeightGroup for more information.

Nested Classes

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State
A description of a single CRF state.

Transition
A description of a single CRF transition.

WeightGroup
A configuration object used by MalletCRF to specify how input-features (which are a function of only the input) should be mapped to joint-features (which are a function of both the input and the output tags).

Instance Methods

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__init__(self, states, gaussian_variance, default_label, max_iterations, transduction_type, weight_groups, add_start_state, add_end_state, model_filename, feature_detector)

source code

toxml(self)

source code

write(self, filename)

source code

Static Methods

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fromstring(s)

source code

_read(etree)

source code

Class Variables

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_XML_TEMPLATE = '<crf>\n <modelFile>%(model_filename)s</model...

Method Details

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init(self, states, gaussian_variance, default_label, max_iterations, transduction_type, weight_groups, add_start_state, add_end_state, model_filename, feature_detector)
(Constructor)

source code

Overrides: object.__init__: (inherited documentation)

Class Variable Details

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_XML_TEMPLATE

Value:

'''<crf>
  <modelFile>%(model_filename)s</modelFile>
  <gaussianVariance>%(gaussian_variance)d</gaussianVariance>
  <defaultLabel>%(default_label)s</defaultLabel>
  <maxIterations>%(max_iterations)s</maxIterations>
  <transductionType>%(transduction_type)s</transductionType>
  <featureDetector name="%(feature_detector_name)s">
    %(feature_detector)s
...

type CRFInfo

__init__(self, states, gaussian_variance, default_label, max_iterations, transduction_type, weight_groups, add_start_state, add_end_state, model_filename, feature_detector) (Constructor)

_XML_TEMPLATE

init(self, states, gaussian_variance, default_label, max_iterations, transduction_type, weight_groups, add_start_state, add_end_state, model_filename, feature_detector)
(Constructor)