API

This is the NiaAML API documentation, auto generated from the source code.

• niaaml
• niaaml.data
  • BasicDataReader
  • CSVDataReader
  • DataReader
    • DataReader.get_x()
    • DataReader.get_y()
    • DataReader.set_x()
    • DataReader.set_y()
• niaaml.classifiers
  • AdaBoost
    • AdaBoost.Name
    • AdaBoost.fit()
    • AdaBoost.predict()
    • AdaBoost.set_parameters()
    • AdaBoost.to_string()
  • Bagging
    • Bagging.Name
    • Bagging.fit()
    • Bagging.predict()
    • Bagging.set_parameters()
    • Bagging.to_string()
  • Classifier
    • Classifier.fit()
    • Classifier.predict()
  • ClassifierFactory
  • DecisionTree
    • DecisionTree.Name
    • DecisionTree.fit()
    • DecisionTree.predict()
    • DecisionTree.set_parameters()
    • DecisionTree.to_string()
  • ExtremelyRandomizedTrees
    • ExtremelyRandomizedTrees.Name
    • ExtremelyRandomizedTrees.fit()
    • ExtremelyRandomizedTrees.predict()
    • ExtremelyRandomizedTrees.set_parameters()
    • ExtremelyRandomizedTrees.to_string()
  • GaussianNB
    • GaussianNB.Name
    • GaussianNB.fit()
    • GaussianNB.predict()
    • GaussianNB.set_parameters()
    • GaussianNB.to_string()
  • GaussianProcess
    • GaussianProcess.Name
    • GaussianProcess.fit()
    • GaussianProcess.predict()
    • GaussianProcess.set_parameters()
    • GaussianProcess.to_string()
  • KNeighbors
    • KNeighbors.Name
    • KNeighbors.fit()
    • KNeighbors.predict()
    • KNeighbors.set_parameters()
    • KNeighbors.to_string()
  • LinearSVC
    • LinearSVC.Name
    • LinearSVC.fit()
    • LinearSVC.predict()
    • LinearSVC.set_parameters()
    • LinearSVC.to_string()
  • MultiLayerPerceptron
    • MultiLayerPerceptron.Name
    • MultiLayerPerceptron.fit()
    • MultiLayerPerceptron.predict()
    • MultiLayerPerceptron.set_parameters()
    • MultiLayerPerceptron.to_string()
  • QuadraticDiscriminantAnalysis
    • QuadraticDiscriminantAnalysis.Name
    • QuadraticDiscriminantAnalysis.fit()
    • QuadraticDiscriminantAnalysis.predict()
    • QuadraticDiscriminantAnalysis.set_parameters()
    • QuadraticDiscriminantAnalysis.to_string()
  • RandomForest
    • RandomForest.Name
    • RandomForest.fit()
    • RandomForest.predict()
    • RandomForest.set_parameters()
    • RandomForest.to_string()
• niaaml.preprocessing
  • PreprocessingAlgorithm
  • niaaml.preprocessing.feature_selection
    • BatAlgorithm
      • BatAlgorithm.Name
      • BatAlgorithm.select_features()
      • BatAlgorithm.set_parameters()
      • BatAlgorithm.to_string()
    • DifferentialEvolution
      • DifferentialEvolution.Name
      • DifferentialEvolution.select_features()
      • DifferentialEvolution.set_parameters()
      • DifferentialEvolution.to_string()
    • FeatureSelectionAlgorithm
      • FeatureSelectionAlgorithm.select_features()
    • FeatureSelectionAlgorithmFactory
    • GreyWolfOptimizer
      • GreyWolfOptimizer.Name
      • GreyWolfOptimizer.select_features()
      • GreyWolfOptimizer.to_string()
    • ParticleSwarmOptimization
      • ParticleSwarmOptimization.Name
      • ParticleSwarmOptimization.select_features()
      • ParticleSwarmOptimization.set_parameters()
      • ParticleSwarmOptimization.to_string()
    • SelectKBest
      • SelectKBest.Name
      • SelectKBest.select_features()
      • SelectKBest.set_parameters()
      • SelectKBest.to_string()
    • SelectPercentile
      • SelectPercentile.Name
      • SelectPercentile.select_features()
      • SelectPercentile.set_parameters()
      • SelectPercentile.to_string()
    • VarianceThreshold
      • VarianceThreshold.Name
      • VarianceThreshold.select_features()
      • VarianceThreshold.set_parameters()
      • VarianceThreshold.to_string()
    • jDEFSTH
      • jDEFSTH.Name
      • jDEFSTH.select_features()
      • jDEFSTH.to_string()
  • niaaml.preprocessing.feature_transform
    • FeatureTransformAlgorithm
      • FeatureTransformAlgorithm.fit()
      • FeatureTransformAlgorithm.transform()
    • FeatureTransformAlgorithmFactory
    • MaxAbsScaler
      • MaxAbsScaler.Name
      • MaxAbsScaler.fit()
      • MaxAbsScaler.to_string()
      • MaxAbsScaler.transform()
    • Normalizer
      • Normalizer.Name
      • Normalizer.fit()
      • Normalizer.set_parameters()
      • Normalizer.to_string()
      • Normalizer.transform()
    • QuantileTransformer
      • QuantileTransformer.Name
      • QuantileTransformer.fit()
      • QuantileTransformer.to_string()
      • QuantileTransformer.transform()
    • RobustScaler
      • RobustScaler.Name
      • RobustScaler.fit()
      • RobustScaler.to_string()
      • RobustScaler.transform()
    • StandardScaler
      • StandardScaler.Name
      • StandardScaler.fit()
      • StandardScaler.to_string()
      • StandardScaler.transform()
  • niaaml.preprocessing.encoding
    • EncoderFactory
    • FeatureEncoder
      • FeatureEncoder.Name
      • FeatureEncoder.fit()
      • FeatureEncoder.to_string()
      • FeatureEncoder.transform()
    • OneHotEncoder
      • OneHotEncoder.Name
      • OneHotEncoder.fit()
      • OneHotEncoder.to_string()
      • OneHotEncoder.transform()
    • encode_categorical_features()
  • niaaml.preprocessing.imputation
    • Imputer
      • Imputer.Name
      • Imputer.fit()
      • Imputer.to_string()
      • Imputer.transform()
    • ImputerFactory
    • SimpleImputer
      • SimpleImputer.Name
      • SimpleImputer.fit()
      • SimpleImputer.to_string()
      • SimpleImputer.transform()
    • impute_features()
• niaaml.fitness
  • Accuracy
    • Accuracy.Name
    • Accuracy.get_fitness()
  • CohenKappa
    • CohenKappa.Name
    • CohenKappa.get_fitness()
  • F1
    • F1.Name
    • F1.get_fitness()
  • FitnessFactory
  • FitnessFunction
    • FitnessFunction.Name
    • FitnessFunction.get_fitness()
    • FitnessFunction.set_parameters()
  • Precision
    • Precision.Name
    • Precision.get_fitness()