Package ml :: Package lib :: Module orange
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Module orange

source code

Created on 19 Apr 2013


Author: Eleftherios Avramidis

Classes [hide private]
  OrangeRuntimeRanker
This class represents a ranker implemented over pairwise orange classifiers.
  OrangeClassifier
Wrapper around an orange classifier object
Functions [hide private]
Orange.classification.Classifier
forname(name, **kwargs)
Pythonic way to initialize and return an orange learner.
source code
 
runtime_ranker_forname(name, **kwargs)
Return particular ranker class given a string
source code
 
parallelsentence_to_instance(domain, parallelsentence)
Receive a parallel sentence and convert it into a memory instance for the machine learner.
source code
 
dataset_to_instances(domain, dataset)
Receive a dataset and convert it into a memory table for the machine learner
source code
Variables [hide private]
  __package__ = 'ml.lib'
Function Details [hide private]

forname(name, **kwargs)

source code 

Pythonic way to initialize and return an orange learner. Pass any parameters needed for the initialization

Parameters:
  • name (string) - the name of the learner to be returned
Returns: Orange.classification.Classifier
an orange learner

parallelsentence_to_instance(domain, parallelsentence)

source code 

Receive a parallel sentence and convert it into a memory instance for the machine learner.

Parameters:
Returns:
an orange instance