Package ml

Unified interface for access to several ML libraries and toolkits. New ML libraries should be placed into /lib and implement learner.py or ranker.py /var contains old classifier wrappers that still work but need to be gradually migrated

Submodules

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ml.learner: It provides a general classifier API which unifies common machine learning functions
ml.lib
- ml.lib.orange: Created on 19 Apr 2013
- ml.lib.scikit
  - ml.lib.scikit.evaluation_measures: evaluation_measures -- Additional metrics used in learn_model not implemented in sklearn.
  - ml.lib.scikit.features_file_utils: Created on Aug 29, 2012
  - ml.lib.scikit.learn_model: learn_model -- Program that learns machine translation quality estimation models
  - ml.lib.scikit.scikit: Created on 25 Mar 2014
  - ml.lib.scikit.sklearn_utils: sklearn_utils -- Helper functions to deal with data in the formats sklearn uses.
ml.ranker: Created on 26 Mar 2013
ml.var
- ml.var.bayes
- ml.var.classifier
- ml.var.extract_liblinear_weights
- ml.var.extract_linear_regression_coefficients
- ml.var.extract_logreg_weight
- ml.var.knn
- ml.var.loglinear
- ml.var.orange: Created on 26 Mar 2013
- ml.var.prank: Created on 13 Oct 2012
- ml.var.ranker
- ml.var.registry: This module should be connecting classifier wrappers with the external Machine Learning classification libraries.
- ml.var.rvm
- ml.var.svm
- ml.var.svmeasy
- ml.var.svmrank: Created on 29 Aug 2012
- ml.var.tree

Variables

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__package__ = None
hash(x)