@ai-on-browser/data-analysis-models
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models
Namespace models
Classes
A2CAgent
ABOD
ADALINE
ADAMENN
AdaptiveThresholding
AffinityPropagation
AggressiveROMMA
AkimaInterpolation
ALMA
AnomalyPCA
AODE
AR
ARMA
AROW
ART
AssociationAnalysis
Autoencoder
AutomaticThresholding
AveragedPerceptron
AverageShiftedHistogram
BalancedHistogramThresholding
Ballseptron
Banditron
BayesianLinearRegression
BayesianNetwork
BernsenThresholding
BesselFilter
BilinearInterpolation
BIRCH
BisectingKMeans
BOGD
BoxCox
BPA
BrahmaguptaInterpolation
BRIDGE
BSGD
BudgetPerceptron
ButterworthFilter
C2P
Canny
CAST
CategoricalNaiveBayes
CatmullRomSplines
CELLIP
CentripetalCatmullRomSplines
CentroidAgglomerativeClustering
CHAMELEON
ChangeFinder
ChebyshevFilter
CLARA
CLARANS
CLIQUE
CLUES
COF
COLL
ComplementNaiveBayes
CompleteLinkageAgglomerativeClustering
ComputationalGraph
ConfidenceWeighted
ContinuousHMM
CosineInterpolation
CoTraining
CRF
CubicConvolutionInterpolation
CubicHermiteSpline
CubicInterpolation
CumSum
CumulativeMovingAverage
CURE
DBCLASD
DBSCAN
DecisionTreeClassifier
DecisionTreeRegression
DelaunayInterpolation
DemingRegression
DENCLUE
DIANA
DiffusionMap
DiscriminantAdaptiveNearestNeighbor
DiSH
DOC
DPAgent
DQNAgent
DrakeKMeans
DTSCAN
DualPCA
ElasticNet
ElkanKMeans
EllipticFilter
ELMClassifier
ELMRegressor
ENaN
ENN
EnsembleBinaryModel
ExponentialMovingAverage
ExtraTreesClassifier
ExtraTreesRegressor
FastDOC
FastMap
FINDIT
FishersLinearDiscriminant
Forgetron
FuzzyCMeans
FuzzyKNN
GAN
GasserMuller
GaussianProcess
GBDT
GBDTClassifier
GBRBM
GeneralizedESD
GeneticAlgorithmGeneration
GeneticKMeans
GMeans
GMM
GMR
GPLVM
GroupAverageAgglomerativeClustering
GrowingCellStructures
GrowingNeuralGas
GSOM
GTM
HamelryKMeans
HampelFilter
HartiganWongKMeans
HDBSCAN
Histogram
HLLE
HMM
HoltWinters
HopfieldNetwork
Hotelling
HuberRegression
ICA
IELLIP
IKNN
ILK
IncrementalPCA
INFLO
InverseDistanceWeighting
InverseSmoothstepInterpolation
ISODATA
IsolationForest
Isomap
IsotonicRegression
KalmanFilter
KDEOS
KernelDensityEstimator
KernelizedPegasos
KernelizedPerceptron
KernelKMeans
KernelPCA
KernelRidge
KHarmonicMeans
KLIEP
KMeans
KMeanspp
KMedians
KMedoids
KModes
KNN
KNNAnomaly
KNNDensityEstimation
KNNRegression
KolmogorovZurbenkoFilter
KPrototypes
KSVD
LabelPropagation
LabelSpreading
LadderNetwork
LagrangeInterpolation
LanczosInterpolation
Laplacian
LaplacianEigenmaps
Lasso
LatentDirichletAllocation
Layer
LBABOD
LBG
LDF
LDOF
LeastAbsolute
LeastMedianSquaresRegression
LeastSquares
LeastTrimmedSquaresRegression
LinearDiscriminant
LinearDiscriminantAnalysis
LinearInterpolation
LinearWeightedMovingAverage
LLE
LMCLUS
LMNN
LOCI
LOESS
LOF
LoG
LogarithmicInterpolation
LogisticRegression
LoOP
LOWESS
LowpassFilter
LpNormLinearRegression
LSA
LSDD
LSDDCPD
LSIF
LTSA
LVQClassifier
LVQCluster
MacQueenKMeans
MAD
MADALINE
MarginPerceptron
MarkovSwitching
MaxAbsScaler
MaximumLikelihoodEstimator
MCAgent
MCD
MDS
MeanShift
MedianAgglomerativeClustering
MetropolisHastings
MinmaxNormalization
MIRA
MixtureDiscriminant
MLLE
MLPClassifier
MLPRegressor
MOD
ModifiedMovingAverage
MONA
MonotheticClustering
Mountain
MovingMedian
MT
MulticlassBSGD
MulticlassLinearDiscriminant
MulticlassPerceptron
MulticlassRidge
MultinomialLogisticRegression
MultinomialProbit
MultivariateAdaptiveRegressionSplines
MutualInformationFeatureSelection
MutualKNN
NadarayaWatson
NaiveBayes
NaiveBayesRegression
NAROW
NaturalNeighborInterpolation
NCubicInterpolation
NearestCentroid
NegationNaiveBayes
NeighbourhoodComponentsAnalysis
NeuralGas
NeuralNetwork
NeuralnetworkException
NiblackThresholding
NICE
NLinearInterpolation
NLMeans
NMF
NNBCA
NOF
NormalHERD
OAPBPM
OCSVM
ODIN
OnlineGradientDescent
OPTICS
ORCLUS
OrderedLogisticRegression
OrderedProbitRegression
OtsusThresholding
PA
PAM
ParticleFilter
PassingBablok
PAUM
PCA
PCR
Pegasos
PercentileAnormaly
Perceptron
PGAgent
PhansalkarThresholding
PLS
PLSA
PoissonRegression
PolynomialHistogram
PolynomialInterpolation
PossibilisticCMeans
PRank
Prewitt
PriestleyChao
PrincipalCurve
ProbabilisticPCA
ProbabilityBasedClassifier
Probit
PROCLUS
ProjectionPursuit
Projectron
Projectronpp
PTile
QAgent
QTableBase
QuadraticDiscriminant
QuantileRegression
RadialBasisFunctionNetwork
RadiusNeighbor
RadiusNeighborRegression
RamerDouglasPeucker
RandomForestClassifier
RandomForestRegressor
RandomProjection
RankNet
RANSAC
RBM
RBP
RDF
RDOS
RecursiveLeastSquares
RepeatedMedianRegression
Ridge
RKOF
RNN
RobertsCross
RobustScaler
ROCK
ROMMA
RuLSIF
RVM
S3VM
Sammon
SARSAAgent
SauvolaThresholding
SavitzkyGolayFilter
SDAR
SecondOrderPerceptron
SegmentedRegression
SelectiveNaiveBayes
SelectiveSamplingAdaptivePerceptron
SelectiveSamplingPerceptron
SelectiveSamplingSOP
SelectiveSamplingWinnow
SelfTraining
SemiSupervisedGMM
SemiSupervisedKMeansModel
SemiSupervisedKNN
SemiSupervisedNaiveBayes
SemiSupervisedRadiusNeighbor
SezanThresholding
ShiftingPerceptron
SILK
SimpleMovingAverage
SincInterpolation
SingleLinkageAgglomerativeClustering
Slerp
SlicedInverseRegression
SliceSampling
SMARegression
SmirnovGrubbs
SmoothingSpline
SmoothstepInterpolation
Snakes
SNE
Sobel
SoftConfidenceWeighted
SoftKMeans
SOM
SpectralClustering
SplineInterpolation
SplitAndMerge
SquaredLossMICPD
SST
Standardization
StatisticalRegionMerging
STING
Stoptron
SVC
SVM
SVR
TheilSenRegression
Thompson
TietjenMoore
TighterPerceptron
TightestPerceptron
TriangularMovingAverage
TrigonometricInterpolation
tSNE
TukeyRegression
TukeysFences
uLSIF
UMAP
UniversalSetNaiveBayes
VAE
VAR
VBGMM
VotedPerceptron
WardsAgglomerativeClustering
WeightedAverageAgglomerativeClustering
WeightedKMeans
WeightedKNN
WeightedLeastSquares
Winnow
Word2Vec
XGBoost
XGBoostClassifier
XMeans
YeoJohnson
YinyangKMeans
ZeroInflatedNegativeBinomial
ZeroInflatedPoisson
ZeroTruncatedPoisson
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Classes
A2
C
Agent
ABOD
ADALINE
ADAMENN
Adaptive
Thresholding
Affinity
Propagation
Aggressive
ROMMA
Akima
Interpolation
ALMA
Anomaly
PCA
AODE
AR
ARMA
AROW
ART
Association
Analysis
Autoencoder
Automatic
Thresholding
Averaged
Perceptron
Average
Shifted
Histogram
Balanced
Histogram
Thresholding
Ballseptron
Banditron
Bayesian
Linear
Regression
Bayesian
Network
Bernsen
Thresholding
Bessel
Filter
Bilinear
Interpolation
BIRCH
Bisecting
K
Means
BOGD
Box
Cox
BPA
Brahmagupta
Interpolation
BRIDGE
BSGD
Budget
Perceptron
Butterworth
Filter
C2
P
Canny
CAST
Categorical
Naive
Bayes
Catmull
Rom
Splines
CELLIP
Centripetal
Catmull
Rom
Splines
Centroid
Agglomerative
Clustering
CHAMELEON
Change
Finder
Chebyshev
Filter
CLARA
CLARANS
CLIQUE
CLUES
COF
COLL
Complement
Naive
Bayes
Complete
Linkage
Agglomerative
Clustering
Computational
Graph
Confidence
Weighted
Continuous
HMM
Cosine
Interpolation
Co
Training
CRF
Cubic
Convolution
Interpolation
Cubic
Hermite
Spline
Cubic
Interpolation
Cum
Sum
Cumulative
Moving
Average
CURE
DBCLASD
DBSCAN
Decision
Tree
Classifier
Decision
Tree
Regression
Delaunay
Interpolation
Deming
Regression
DENCLUE
DIANA
Diffusion
Map
Discriminant
Adaptive
Nearest
Neighbor
Di
SH
DOC
DP
Agent
DQN
Agent
Drake
K
Means
DTSCAN
Dual
PCA
Elastic
Net
Elkan
K
Means
Elliptic
Filter
ELM
Classifier
ELM
Regressor
E
Na
N
ENN
Ensemble
Binary
Model
Exponential
Moving
Average
Extra
Trees
Classifier
Extra
Trees
Regressor
Fast
DOC
Fast
Map
FINDIT
Fishers
Linear
Discriminant
Forgetron
Fuzzy
C
Means
Fuzzy
KNN
GAN
Gasser
Muller
Gaussian
Process
GBDT
GBDT
Classifier
GBRBM
Generalized
ESD
Genetic
Algorithm
Generation
Genetic
K
Means
G
Means
GMM
GMR
GPLVM
Group
Average
Agglomerative
Clustering
Growing
Cell
Structures
Growing
Neural
Gas
GSOM
GTM
Hamelry
K
Means
Hampel
Filter
Hartigan
Wong
K
Means
HDBSCAN
Histogram
HLLE
HMM
Holt
Winters
Hopfield
Network
Hotelling
Huber
Regression
ICA
IELLIP
IKNN
ILK
Incremental
PCA
INFLO
Inverse
Distance
Weighting
Inverse
Smoothstep
Interpolation
ISODATA
Isolation
Forest
Isomap
Isotonic
Regression
Kalman
Filter
KDEOS
Kernel
Density
Estimator
Kernelized
Pegasos
Kernelized
Perceptron
Kernel
K
Means
Kernel
PCA
Kernel
Ridge
K
Harmonic
Means
KLIEP
K
Means
K
Meanspp
K
Medians
K
Medoids
K
Modes
KNN
KNN
Anomaly
KNN
Density
Estimation
KNN
Regression
Kolmogorov
Zurbenko
Filter
K
Prototypes
KSVD
Label
Propagation
Label
Spreading
Ladder
Network
Lagrange
Interpolation
Lanczos
Interpolation
Laplacian
Laplacian
Eigenmaps
Lasso
Latent
Dirichlet
Allocation
Layer
LBABOD
LBG
LDF
LDOF
Least
Absolute
Least
Median
Squares
Regression
Least
Squares
Least
Trimmed
Squares
Regression
Linear
Discriminant
Linear
Discriminant
Analysis
Linear
Interpolation
Linear
Weighted
Moving
Average
LLE
LMCLUS
LMNN
LOCI
LOESS
LOF
Lo
G
Logarithmic
Interpolation
Logistic
Regression
Lo
OP
LOWESS
Lowpass
Filter
Lp
Norm
Linear
Regression
LSA
LSDD
LSDDCPD
LSIF
LTSA
LVQ
Classifier
LVQ
Cluster
Mac
Queen
K
Means
MAD
MADALINE
Margin
Perceptron
Markov
Switching
Max
Abs
Scaler
Maximum
Likelihood
Estimator
MC
Agent
MCD
MDS
Mean
Shift
Median
Agglomerative
Clustering
Metropolis
Hastings
Minmax
Normalization
MIRA
Mixture
Discriminant
MLLE
MLP
Classifier
MLP
Regressor
MOD
Modified
Moving
Average
MONA
Monothetic
Clustering
Mountain
Moving
Median
MT
Multiclass
BSGD
Multiclass
Linear
Discriminant
Multiclass
Perceptron
Multiclass
Ridge
Multinomial
Logistic
Regression
Multinomial
Probit
Multivariate
Adaptive
Regression
Splines
Mutual
Information
Feature
Selection
Mutual
KNN
Nadaraya
Watson
Naive
Bayes
Naive
Bayes
Regression
NAROW
Natural
Neighbor
Interpolation
N
Cubic
Interpolation
Nearest
Centroid
Negation
Naive
Bayes
Neighbourhood
Components
Analysis
Neural
Gas
Neural
Network
Neuralnetwork
Exception
Niblack
Thresholding
NICE
N
Linear
Interpolation
NL
Means
NMF
NNBCA
NOF
Normal
HERD
OAPBPM
OCSVM
ODIN
Online
Gradient
Descent
OPTICS
ORCLUS
Ordered
Logistic
Regression
Ordered
Probit
Regression
Otsus
Thresholding
PA
PAM
Particle
Filter
Passing
Bablok
PAUM
PCA
PCR
Pegasos
Percentile
Anormaly
Perceptron
PG
Agent
Phansalkar
Thresholding
PLS
PLSA
Poisson
Regression
Polynomial
Histogram
Polynomial
Interpolation
Possibilistic
C
Means
P
Rank
Prewitt
Priestley
Chao
Principal
Curve
Probabilistic
PCA
Probability
Based
Classifier
Probit
PROCLUS
Projection
Pursuit
Projectron
Projectronpp
P
Tile
Q
Agent
Q
Table
Base
Quadratic
Discriminant
Quantile
Regression
Radial
Basis
Function
Network
Radius
Neighbor
Radius
Neighbor
Regression
Ramer
Douglas
Peucker
Random
Forest
Classifier
Random
Forest
Regressor
Random
Projection
Rank
Net
RANSAC
RBM
RBP
RDF
RDOS
Recursive
Least
Squares
Repeated
Median
Regression
Ridge
RKOF
RNN
Roberts
Cross
Robust
Scaler
ROCK
ROMMA
Ru
LSIF
RVM
S3
VM
Sammon
SARSA
Agent
Sauvola
Thresholding
Savitzky
Golay
Filter
SDAR
Second
Order
Perceptron
Segmented
Regression
Selective
Naive
Bayes
Selective
Sampling
Adaptive
Perceptron
Selective
Sampling
Perceptron
Selective
Sampling
SOP
Selective
Sampling
Winnow
Self
Training
Semi
Supervised
GMM
Semi
Supervised
K
Means
Model
Semi
Supervised
KNN
Semi
Supervised
Naive
Bayes
Semi
Supervised
Radius
Neighbor
Sezan
Thresholding
Shifting
Perceptron
SILK
Simple
Moving
Average
Sinc
Interpolation
Single
Linkage
Agglomerative
Clustering
Slerp
Sliced
Inverse
Regression
Slice
Sampling
SMA
Regression
Smirnov
Grubbs
Smoothing
Spline
Smoothstep
Interpolation
Snakes
SNE
Sobel
Soft
Confidence
Weighted
Soft
K
Means
SOM
Spectral
Clustering
Spline
Interpolation
Split
And
Merge
Squared
Loss
MICPD
SST
Standardization
Statistical
Region
Merging
STING
Stoptron
SVC
SVM
SVR
Theil
Sen
Regression
Thompson
Tietjen
Moore
Tighter
Perceptron
Tightest
Perceptron
Triangular
Moving
Average
Trigonometric
Interpolation
t
SNE
Tukey
Regression
Tukeys
Fences
u
LSIF
UMAP
Universal
Set
Naive
Bayes
VAE
VAR
VBGMM
Voted
Perceptron
Wards
Agglomerative
Clustering
Weighted
Average
Agglomerative
Clustering
Weighted
K
Means
Weighted
KNN
Weighted
Least
Squares
Winnow
Word2
Vec
XG
Boost
XG
Boost
Classifier
X
Means
Yeo
Johnson
Yinyang
K
Means
Zero
Inflated
Negative
Binomial
Zero
Inflated
Poisson
Zero
Truncated
Poisson
Github
@ai-on-browser/data-analysis-models
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