sklearn
Scikit-learn machine learning library for OCaml
IN THIS PACKAGE
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library sklearn
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module Sklearn
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module Arr
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module Base
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module BaseEstimator
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module BiclusterMixin
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module ClassifierMixin
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module ClusterMixin
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module Defaultdict
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module DensityMixin
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module MetaEstimatorMixin
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module MultiOutputMixin
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module OutlierMixin
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module RegressorMixin
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module TransformerMixin
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module Calibration
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module CalibratedClassifierCV
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module IsotonicRegression
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module LabelBinarizer
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module LabelEncoder
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module LinearSVC
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module Cluster
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module AffinityPropagation
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module AgglomerativeClustering
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module Birch
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module DBSCAN
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module FeatureAgglomeration
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module KMeans
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module MeanShift
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module MiniBatchKMeans
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module OPTICS
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module SpectralBiclustering
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module SpectralClustering
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module SpectralCoclustering
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module Compose
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module ColumnTransformer
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module Make_column_selector
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module TransformedTargetRegressor
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module Conftest
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module Covariance
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module EllipticEnvelope
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module EmpiricalCovariance
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module GraphicalLasso
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module GraphicalLassoCV
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module LedoitWolf
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module MinCovDet
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module OAS
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module ShrunkCovariance
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module Cross_decomposition
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module CCA
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module PLSCanonical
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module PLSRegression
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module PLSSVD
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module Datasets
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module Decomposition
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module DictionaryLearning
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module FactorAnalysis
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module FastICA
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module IncrementalPCA
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module KernelPCA
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module LatentDirichletAllocation
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module MiniBatchDictionaryLearning
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module MiniBatchSparsePCA
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module NMF
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module PCA
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module SparseCoder
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module SparsePCA
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module TruncatedSVD
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module Discriminant_analysis
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module LinearClassifierMixin
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module LinearDiscriminantAnalysis
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module StandardScaler
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module Dummy
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module DummyClassifier
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module DummyRegressor
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module Ensemble
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module AdaBoostClassifier
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module AdaBoostRegressor
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module BaggingClassifier
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module BaggingRegressor
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module BaseEnsemble
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module ExtraTreesClassifier
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module ExtraTreesRegressor
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module GradientBoostingClassifier
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module GradientBoostingRegressor
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module IsolationForest
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module RandomForestClassifier
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module RandomForestRegressor
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module RandomTreesEmbedding
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module StackingClassifier
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module StackingRegressor
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module VotingClassifier
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module VotingRegressor
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module Exceptions
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module ChangedBehaviorWarning
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module ConvergenceWarning
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module DataConversionWarning
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module DataDimensionalityWarning
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module EfficiencyWarning
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module FitFailedWarning
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module NonBLASDotWarning
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module NotFittedError
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module PositiveSpectrumWarning
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module SkipTestWarning
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module UndefinedMetricWarning
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module Experimental
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module Externals
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module Feature_extraction
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module DictVectorizer
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module FeatureHasher
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module Image
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module PatchExtractor
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module Product
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module Text
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module CountVectorizer
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module HashingVectorizer
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module Itemgetter
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module Mapping
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module Partial
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module TfidfTransformer
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module TfidfVectorizer
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module Feature_selection
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module GenericUnivariateSelect
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module RFE
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module RFECV
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module SelectFdr
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module SelectFpr
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module SelectFromModel
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module SelectFwe
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module SelectKBest
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module SelectPercentile
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module SelectorMixin
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module VarianceThreshold
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module Gaussian_process
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module GaussianProcessClassifier
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module GaussianProcessRegressor
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module Kernels
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module CompoundKernel
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module ConstantKernel
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module DotProduct
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module ExpSineSquared
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module Exponentiation
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module GenericKernelMixin
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module Hyperparameter
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module Kernel
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module KernelOperator
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module Matern
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module NormalizedKernelMixin
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module PairwiseKernel
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module Product
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module RBF
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module RationalQuadratic
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module StationaryKernelMixin
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module Sum
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module WhiteKernel
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module Impute
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module KNNImputer
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module MissingIndicator
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module SimpleImputer
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module Inspection
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module PartialDependenceDisplay
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module Isotonic
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module IsotonicRegression
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module Kernel_approximation
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module AdditiveChi2Sampler
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module Nystroem
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module RBFSampler
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module SkewedChi2Sampler
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module Kernel_ridge
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module KernelRidge
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module Linear_model
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module ARDRegression
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module BayesianRidge
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module ElasticNet
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module ElasticNetCV
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module GammaRegressor
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module Hinge
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module Huber
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module HuberRegressor
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module Lars
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module LarsCV
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module Lasso
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module LassoCV
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module LassoLars
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module LassoLarsCV
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module LassoLarsIC
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module LinearRegression
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module Log
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module LogisticRegression
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module LogisticRegressionCV
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module ModifiedHuber
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module MultiTaskElasticNet
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module MultiTaskElasticNetCV
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module MultiTaskLasso
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module MultiTaskLassoCV
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module OrthogonalMatchingPursuit
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module OrthogonalMatchingPursuitCV
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module PassiveAggressiveClassifier
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module PassiveAggressiveRegressor
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module Perceptron
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module PoissonRegressor
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module RANSACRegressor
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module Ridge
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module RidgeCV
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module RidgeClassifier
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module RidgeClassifierCV
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module SGDClassifier
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module SGDRegressor
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module SquaredLoss
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module TheilSenRegressor
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module TweedieRegressor
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module Manifold
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module Isomap
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module LocallyLinearEmbedding
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module MDS
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module SpectralEmbedding
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module TSNE
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module Metrics
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module Cluster
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module ConfusionMatrixDisplay
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module Pairwise
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module Csr_matrix
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module Partial
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module PrecisionRecallDisplay
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module RocCurveDisplay
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module Mixture
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module BayesianGaussianMixture
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module GaussianMixture
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module Model_selection
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module BaseCrossValidator
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module GridSearchCV
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module GroupKFold
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module GroupShuffleSplit
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module KFold
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module LeaveOneGroupOut
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module LeaveOneOut
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module LeavePGroupsOut
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module LeavePOut
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module ParameterGrid
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module ParameterSampler
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module PredefinedSplit
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module RandomizedSearchCV
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module RepeatedKFold
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module RepeatedStratifiedKFold
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module ShuffleSplit
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module StratifiedKFold
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module StratifiedShuffleSplit
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module TimeSeriesSplit
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module Multiclass
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module LabelBinarizer
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module NotFittedError
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module OneVsOneClassifier
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module OneVsRestClassifier
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module OutputCodeClassifier
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module Multioutput
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module ClassifierChain
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module MultiOutputClassifier
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module MultiOutputEstimator
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module MultiOutputRegressor
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module RegressorChain
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module Naive_bayes
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module BaseDiscreteNB
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module BaseNB
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module BernoulliNB
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module CategoricalNB
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module ComplementNB
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module GaussianNB
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module MultinomialNB
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module Neighbors
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module BallTree
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module DistanceMetric
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module KDTree
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module KNeighborsClassifier
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module KNeighborsRegressor
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module KNeighborsTransformer
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module KernelDensity
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module LocalOutlierFactor
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module NearestCentroid
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module NearestNeighbors
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module RadiusNeighborsClassifier
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module RadiusNeighborsRegressor
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module RadiusNeighborsTransformer
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module Neural_network
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module BernoulliRBM
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module MLPClassifier
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module MLPRegressor
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module Obj
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module Pipeline
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module Bunch
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module FeatureUnion
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module Islice
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module Pipeline
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module Preprocessing
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module Binarizer
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module FunctionTransformer
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module KBinsDiscretizer
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module KernelCenterer
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module MaxAbsScaler
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module MinMaxScaler
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module MultiLabelBinarizer
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module Normalizer
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module OneHotEncoder
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module OrdinalEncoder
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module PolynomialFeatures
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module PowerTransformer
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module QuantileTransformer
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module RobustScaler
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module StandardScaler
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module Random_projection
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module BaseRandomProjection
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module GaussianRandomProjection
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module SparseRandomProjection
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module Semi_supervised
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module LabelPropagation
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module LabelSpreading
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module Setup
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module SparseMatrixList
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module Tests
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module Tree
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module BaseDecisionTree
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module DecisionTreeClassifier
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module DecisionTreeRegressor
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module ExtraTreeClassifier
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module ExtraTreeRegressor
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module Utils
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module Arrayfuncs
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module Bunch
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module Class_weight
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module Compress
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module DataConversionWarning
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module Deprecation
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module Extmath
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module Fixes
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module LooseVersion
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module Graph
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module Graph_shortest_path
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module Islice
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module Itemgetter
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module Metaestimators
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module Attrgetter
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module Multiclass
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module Chain
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module Dok_matrix
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module Lil_matrix
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module Spmatrix
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module Murmurhash
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module Optimize
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module Parallel_backend
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module Path
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module Random
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module Sequence
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module Sparsefuncs
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module Sparsefuncs_fast
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module Stats
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module Validation
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module ComplexWarning
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module Parameter
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module Suppress
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module Wrap_utils
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module Wrap_version
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Libraries
This package provides the following libraries (via dune):
sklearn
Documentation:
Sklearn.ArrSklearn.BaseSklearn.CalibrationSklearn.ClusterSklearn.ComposeSklearn.ConftestSklearn.CovarianceSklearn.Cross_decompositionSklearn.DatasetsSklearn.DecompositionSklearn.DictSklearn.Discriminant_analysisSklearn.DummySklearn.EnsembleSklearn.ExceptionsSklearn.ExperimentalSklearn.ExternalsSklearn.Feature_extractionSklearn.Feature_selectionSklearn.Gaussian_processSklearn.ImputeSklearn.InspectionSklearn.IsotonicSklearn.Kernel_approximationSklearn.Kernel_ridgeSklearn.Linear_modelSklearn.ManifoldSklearn.MetricsSklearn.MixtureSklearn.Model_selectionSklearn.MulticlassSklearn.MultioutputSklearn.Naive_bayesSklearn.NeighborsSklearn.Neural_networkSklearn.ObjSklearn.PipelineSklearn.PreprocessingSklearn.Random_projectionSklearn.Semi_supervisedSklearn.SetupSklearn.SparseMatrixListSklearn.SvmSklearn.TestsSklearn.TreeSklearn.UtilsSklearn.Wrap_utilsSklearn.Wrap_version
Dependencies: bigarray, pyml, scipy, np