API Documentation

• Quickstart
• config Package
  • fix_json()
  • load_cv_folds()
  • locate_file()
• data Package
  • data.featureset Module
    • FeatureSet
      • FeatureSet.filter()
      • FeatureSet.filtered_iter()
      • FeatureSet.from_data_frame()
      • FeatureSet.has_labels
      • FeatureSet.split()
  • data.readers Module
    • Reader
      • Reader.for_path()
      • Reader.read()
    • CSVReader
    • TSVReader
    • NDJReader
    • DictListReader
      • DictListReader.read()
    • ARFFReader
      • ARFFReader.split_with_quotes()
    • LibSVMReader
  • data.writers Module
    • Writer
      • Writer.for_path()
      • Writer.write()
    • CSVWriter
    • TSVWriter
    • NDJWriter
    • ARFFWriter
    • LibSVMWriter
• experiments Package
• learner Package
  • Learner Class
    • Learner
      • Learner.cross_validate()
      • Learner.evaluate()
      • Learner.from_file()
      • Learner.get_feature_names_out()
      • Learner.learning_curve()
      • Learner.load()
      • Learner.model
      • Learner.model_kwargs
      • Learner.model_params
      • Learner.model_type
      • Learner.predict()
      • Learner.probability
      • Learner.save()
      • Learner.train()
    • load_custom_learner()
  • VotingLearner Class
    • VotingLearner
      • VotingLearner.cross_validate()
      • VotingLearner.evaluate()
      • VotingLearner.from_file()
      • VotingLearner.learners
      • VotingLearner.learning_curve()
      • VotingLearner.model
      • VotingLearner.model_type
      • VotingLearner.predict()
      • VotingLearner.save()
      • VotingLearner.train()
• metrics Module
  • correlation()
  • f1_score_least_frequent()
  • kappa()
  • register_custom_metric()
  • use_score_func()
• utils Package
  • CLASSIFICATION_ONLY_METRICS
  • CORRELATION_METRICS
  • PROBABILISTIC_METRICS
  • REGRESSION_ONLY_METRICS
  • UNWEIGHTED_KAPPA_METRICS
  • WEIGHTED_KAPPA_METRICS
  • get_skll_logger()
• types Module
  • ClassMap
  • ConfusionMatrix
  • FeatureDict
  • FeatureDictList
  • FeaturesetIterator
  • FoldMapping
  • IdType
  • IndexIterator
  • LabelType
  • LearningCurveSizes
  • FeatGenerator
  • PathOrStr
  • SparseFeatureMatrix
  • ComputeEvalMetricsResults
  • EvaluateTaskResults
  • CrossValidateTaskResults
  • VotingCrossValidateTaskResults