NiaAML
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NiaAML
Index
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Index
A
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B
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C
|
D
|
E
|
F
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G
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I
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J
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K
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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V
A
Accuracy (class in niaaml.fitness)
AdaBoost (class in niaaml.classifiers)
B
Bagging (class in niaaml.classifiers)
BasicDataReader (class in niaaml.data)
BatAlgorithm (class in niaaml.preprocessing.feature_selection)
C
Classifier (class in niaaml.classifiers)
ClassifierFactory (class in niaaml.classifiers)
CohenKappa (class in niaaml.fitness)
CSVDataReader (class in niaaml.data)
D
DataReader (class in niaaml.data)
DecisionTree (class in niaaml.classifiers)
DifferentialEvolution (class in niaaml.preprocessing.feature_selection)
E
encode_categorical_features() (in module niaaml.preprocessing.encoding)
EncoderFactory (class in niaaml.preprocessing.encoding)
ExtremelyRandomizedTrees (class in niaaml.classifiers)
F
F1 (class in niaaml.fitness)
FeatureEncoder (class in niaaml.preprocessing.encoding)
FeatureSelectionAlgorithm (class in niaaml.preprocessing.feature_selection)
FeatureSelectionAlgorithmFactory (class in niaaml.preprocessing.feature_selection)
FeatureTransformAlgorithm (class in niaaml.preprocessing.feature_transform)
FeatureTransformAlgorithmFactory (class in niaaml.preprocessing.feature_transform)
fit() (niaaml.classifiers.AdaBoost method)
(niaaml.classifiers.Bagging method)
(niaaml.classifiers.Classifier method)
(niaaml.classifiers.DecisionTree method)
(niaaml.classifiers.ExtremelyRandomizedTrees method)
(niaaml.classifiers.GaussianNB method)
(niaaml.classifiers.GaussianProcess method)
(niaaml.classifiers.KNeighbors method)
(niaaml.classifiers.LinearSVC method)
(niaaml.classifiers.MultiLayerPerceptron method)
(niaaml.classifiers.QuadraticDiscriminantAnalysis method)
(niaaml.classifiers.RandomForest method)
(niaaml.preprocessing.encoding.FeatureEncoder method)
(niaaml.preprocessing.encoding.OneHotEncoder method)
(niaaml.preprocessing.feature_transform.FeatureTransformAlgorithm method)
(niaaml.preprocessing.feature_transform.MaxAbsScaler method)
(niaaml.preprocessing.feature_transform.Normalizer method)
(niaaml.preprocessing.feature_transform.QuantileTransformer method)
(niaaml.preprocessing.feature_transform.RobustScaler method)
(niaaml.preprocessing.feature_transform.StandardScaler method)
(niaaml.preprocessing.imputation.Imputer method)
(niaaml.preprocessing.imputation.SimpleImputer method)
FitnessFactory (class in niaaml.fitness)
FitnessFunction (class in niaaml.fitness)
G
GaussianNB (class in niaaml.classifiers)
GaussianProcess (class in niaaml.classifiers)
get_fitness() (niaaml.fitness.Accuracy method)
(niaaml.fitness.CohenKappa method)
(niaaml.fitness.F1 method)
(niaaml.fitness.FitnessFunction method)
(niaaml.fitness.Precision method)
get_x() (niaaml.data.DataReader method)
get_y() (niaaml.data.DataReader method)
GreyWolfOptimizer (class in niaaml.preprocessing.feature_selection)
I
impute_features() (in module niaaml.preprocessing.imputation)
Imputer (class in niaaml.preprocessing.imputation)
ImputerFactory (class in niaaml.preprocessing.imputation)
J
jDEFSTH (class in niaaml.preprocessing.feature_selection)
K
KNeighbors (class in niaaml.classifiers)
L
LinearSVC (class in niaaml.classifiers)
M
MaxAbsScaler (class in niaaml.preprocessing.feature_transform)
module
niaaml
niaaml.classifiers
niaaml.data
niaaml.fitness
niaaml.preprocessing
niaaml.preprocessing.encoding
niaaml.preprocessing.feature_selection
niaaml.preprocessing.feature_transform
niaaml.preprocessing.imputation
MultiLayerPerceptron (class in niaaml.classifiers)
N
Name (niaaml.classifiers.AdaBoost attribute)
(niaaml.classifiers.Bagging attribute)
(niaaml.classifiers.DecisionTree attribute)
(niaaml.classifiers.ExtremelyRandomizedTrees attribute)
(niaaml.classifiers.GaussianNB attribute)
(niaaml.classifiers.GaussianProcess attribute)
(niaaml.classifiers.KNeighbors attribute)
(niaaml.classifiers.LinearSVC attribute)
(niaaml.classifiers.MultiLayerPerceptron attribute)
(niaaml.classifiers.QuadraticDiscriminantAnalysis attribute)
(niaaml.classifiers.RandomForest attribute)
(niaaml.fitness.Accuracy attribute)
(niaaml.fitness.CohenKappa attribute)
(niaaml.fitness.F1 attribute)
(niaaml.fitness.FitnessFunction attribute)
(niaaml.fitness.Precision attribute)
(niaaml.preprocessing.encoding.FeatureEncoder attribute)
(niaaml.preprocessing.encoding.OneHotEncoder attribute)
(niaaml.preprocessing.feature_selection.BatAlgorithm attribute)
(niaaml.preprocessing.feature_selection.DifferentialEvolution attribute)
(niaaml.preprocessing.feature_selection.GreyWolfOptimizer attribute)
(niaaml.preprocessing.feature_selection.jDEFSTH attribute)
(niaaml.preprocessing.feature_selection.ParticleSwarmOptimization attribute)
(niaaml.preprocessing.feature_selection.SelectKBest attribute)
(niaaml.preprocessing.feature_selection.SelectPercentile attribute)
(niaaml.preprocessing.feature_selection.VarianceThreshold attribute)
(niaaml.preprocessing.feature_transform.MaxAbsScaler attribute)
(niaaml.preprocessing.feature_transform.Normalizer attribute)
(niaaml.preprocessing.feature_transform.QuantileTransformer attribute)
(niaaml.preprocessing.feature_transform.RobustScaler attribute)
(niaaml.preprocessing.feature_transform.StandardScaler attribute)
(niaaml.preprocessing.imputation.Imputer attribute)
(niaaml.preprocessing.imputation.SimpleImputer attribute)
niaaml
module
niaaml.classifiers
module
niaaml.data
module
niaaml.fitness
module
niaaml.preprocessing
module
niaaml.preprocessing.encoding
module
niaaml.preprocessing.feature_selection
module
niaaml.preprocessing.feature_transform
module
niaaml.preprocessing.imputation
module
Normalizer (class in niaaml.preprocessing.feature_transform)
O
OneHotEncoder (class in niaaml.preprocessing.encoding)
P
ParticleSwarmOptimization (class in niaaml.preprocessing.feature_selection)
Precision (class in niaaml.fitness)
predict() (niaaml.classifiers.AdaBoost method)
(niaaml.classifiers.Bagging method)
(niaaml.classifiers.Classifier method)
(niaaml.classifiers.DecisionTree method)
(niaaml.classifiers.ExtremelyRandomizedTrees method)
(niaaml.classifiers.GaussianNB method)
(niaaml.classifiers.GaussianProcess method)
(niaaml.classifiers.KNeighbors method)
(niaaml.classifiers.LinearSVC method)
(niaaml.classifiers.MultiLayerPerceptron method)
(niaaml.classifiers.QuadraticDiscriminantAnalysis method)
(niaaml.classifiers.RandomForest method)
PreprocessingAlgorithm (class in niaaml.preprocessing)
Q
QuadraticDiscriminantAnalysis (class in niaaml.classifiers)
QuantileTransformer (class in niaaml.preprocessing.feature_transform)
R
RandomForest (class in niaaml.classifiers)
RobustScaler (class in niaaml.preprocessing.feature_transform)
S
select_features() (niaaml.preprocessing.feature_selection.BatAlgorithm method)
(niaaml.preprocessing.feature_selection.DifferentialEvolution method)
(niaaml.preprocessing.feature_selection.FeatureSelectionAlgorithm method)
(niaaml.preprocessing.feature_selection.GreyWolfOptimizer method)
(niaaml.preprocessing.feature_selection.jDEFSTH method)
(niaaml.preprocessing.feature_selection.ParticleSwarmOptimization method)
(niaaml.preprocessing.feature_selection.SelectKBest method)
(niaaml.preprocessing.feature_selection.SelectPercentile method)
(niaaml.preprocessing.feature_selection.VarianceThreshold method)
SelectKBest (class in niaaml.preprocessing.feature_selection)
SelectPercentile (class in niaaml.preprocessing.feature_selection)
set_parameters() (niaaml.classifiers.AdaBoost method)
(niaaml.classifiers.Bagging method)
(niaaml.classifiers.DecisionTree method)
(niaaml.classifiers.ExtremelyRandomizedTrees method)
(niaaml.classifiers.GaussianNB method)
(niaaml.classifiers.GaussianProcess method)
(niaaml.classifiers.KNeighbors method)
(niaaml.classifiers.LinearSVC method)
(niaaml.classifiers.MultiLayerPerceptron method)
(niaaml.classifiers.QuadraticDiscriminantAnalysis method)
(niaaml.classifiers.RandomForest method)
(niaaml.fitness.FitnessFunction method)
(niaaml.preprocessing.feature_selection.BatAlgorithm method)
(niaaml.preprocessing.feature_selection.DifferentialEvolution method)
(niaaml.preprocessing.feature_selection.ParticleSwarmOptimization method)
(niaaml.preprocessing.feature_selection.SelectKBest method)
(niaaml.preprocessing.feature_selection.SelectPercentile method)
(niaaml.preprocessing.feature_selection.VarianceThreshold method)
(niaaml.preprocessing.feature_transform.Normalizer method)
set_x() (niaaml.data.DataReader method)
set_y() (niaaml.data.DataReader method)
SimpleImputer (class in niaaml.preprocessing.imputation)
StandardScaler (class in niaaml.preprocessing.feature_transform)
T
to_string() (niaaml.classifiers.AdaBoost method)
(niaaml.classifiers.Bagging method)
(niaaml.classifiers.DecisionTree method)
(niaaml.classifiers.ExtremelyRandomizedTrees method)
(niaaml.classifiers.GaussianNB method)
(niaaml.classifiers.GaussianProcess method)
(niaaml.classifiers.KNeighbors method)
(niaaml.classifiers.LinearSVC method)
(niaaml.classifiers.MultiLayerPerceptron method)
(niaaml.classifiers.QuadraticDiscriminantAnalysis method)
(niaaml.classifiers.RandomForest method)
(niaaml.preprocessing.encoding.FeatureEncoder method)
(niaaml.preprocessing.encoding.OneHotEncoder method)
(niaaml.preprocessing.feature_selection.BatAlgorithm method)
(niaaml.preprocessing.feature_selection.DifferentialEvolution method)
(niaaml.preprocessing.feature_selection.GreyWolfOptimizer method)
(niaaml.preprocessing.feature_selection.jDEFSTH method)
(niaaml.preprocessing.feature_selection.ParticleSwarmOptimization method)
(niaaml.preprocessing.feature_selection.SelectKBest method)
(niaaml.preprocessing.feature_selection.SelectPercentile method)
(niaaml.preprocessing.feature_selection.VarianceThreshold method)
(niaaml.preprocessing.feature_transform.MaxAbsScaler method)
(niaaml.preprocessing.feature_transform.Normalizer method)
(niaaml.preprocessing.feature_transform.QuantileTransformer method)
(niaaml.preprocessing.feature_transform.RobustScaler method)
(niaaml.preprocessing.feature_transform.StandardScaler method)
(niaaml.preprocessing.imputation.Imputer method)
(niaaml.preprocessing.imputation.SimpleImputer method)
transform() (niaaml.preprocessing.encoding.FeatureEncoder method)
(niaaml.preprocessing.encoding.OneHotEncoder method)
(niaaml.preprocessing.feature_transform.FeatureTransformAlgorithm method)
(niaaml.preprocessing.feature_transform.MaxAbsScaler method)
(niaaml.preprocessing.feature_transform.Normalizer method)
(niaaml.preprocessing.feature_transform.QuantileTransformer method)
(niaaml.preprocessing.feature_transform.RobustScaler method)
(niaaml.preprocessing.feature_transform.StandardScaler method)
(niaaml.preprocessing.imputation.Imputer method)
(niaaml.preprocessing.imputation.SimpleImputer method)
V
VarianceThreshold (class in niaaml.preprocessing.feature_selection)
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