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- api
- active
- EntropySampler
- base/ActiveLearningClassifier
- anomaly
- GaussianScorer
- HalfSpaceTrees
- LocalOutlierFactor
- OneClassSVM
- PredictiveAnomalyDetection
- QuantileFilter
- StandardAbsoluteDeviation
- ThresholdFilter
- base
- AnomalyDetector
- AnomalyFilter
- SupervisedAnomalyDetector
- bandit
- BayesUCB
- EpsilonGreedy
- Exp3
- LinUCBDisjoint
- RandomPolicy
- ThompsonSampling
- UCB
- base
- ContextualPolicy
- Policy
- datasets
- BanditDataset
- NewsArticles
- envs
- CandyCaneContest
- KArmedTestbed
- evaluate
- evaluate-offline
- base
- Base
- BinaryDriftAndWarningDetector
- BinaryDriftDetector
- Classifier
- Clusterer
- DriftAndWarningDetector
- DriftDetector
- Ensemble
- Estimator
- MiniBatchClassifier
- MiniBatchRegressor
- MiniBatchSupervisedTransformer
- MiniBatchTransformer
- MultiLabelClassifier
- MultiTargetRegressor
- Regressor
- SupervisedTransformer
- Transformer
- Wrapper
- WrapperEnsemble
- cluster
- CluStream
- DBSTREAM
- DenStream
- KMeans
- ODAC
- STREAMKMeans
- TextClust
- compat
- River2SKLClassifier
- River2SKLClusterer
- River2SKLRegressor
- River2SKLTransformer
- SKL2RiverClassifier
- SKL2RiverRegressor
- convert-river-to-sklearn
- convert-sklearn-to-river
- compose
- Discard
- FuncTransformer
- Grouper
- Pipeline
- Prefixer
- Renamer
- Select
- SelectType
- Suffixer
- TargetTransformRegressor
- TransformerProduct
- TransformerUnion
- learn-during-predict
- conf
- Interval
- RegressionJackknife
- covariance
- EmpiricalCovariance
- EmpiricalPrecision
- datasets
- AirlinePassengers
- Bananas
- Bikes
- ChickWeights
- CreditCard
- Elec2
- HTTP
- Higgs
- ImageSegments
- Insects
- Keystroke
- MaliciousURL
- MovieLens100K
- Music
- Phishing
- Restaurants
- SMSSpam
- SMTP
- SolarFlare
- TREC07
- Taxis
- TrumpApproval
- WaterFlow
- WebTraffic
- base
- Dataset
- FileDataset
- RemoteDataset
- SyntheticDataset
- synth
- Agrawal
- AnomalySine
- ConceptDriftStream
- Friedman
- FriedmanDrift
- Hyperplane
- LED
- LEDDrift
- Logical
- Mixed
- Mv
- Planes2D
- RandomRBF
- RandomRBFDrift
- RandomTree
- SEA
- STAGGER
- Sine
- Waveform
- drift
- ADWIN
- DriftRetrainingClassifier
- DummyDriftDetector
- KSWIN
- NoDrift
- PageHinkley
- binary
- DDM
- EDDM
- FHDDM
- HDDM-A
- HDDM-W
- datasets
- AirlinePassengers
- Apple
- Bitcoin
- BrentSpotPrice
- Occupancy
- RunLog
- UKCoalEmploy
- dummy
- NoChangeClassifier
- PriorClassifier
- StatisticRegressor
- ensemble
- ADWINBaggingClassifier
- ADWINBoostingClassifier
- AdaBoostClassifier
- BOLEClassifier
- BaggingClassifier
- BaggingRegressor
- EWARegressor
- LeveragingBaggingClassifier
- SRPClassifier
- SRPRegressor
- StackingClassifier
- VotingClassifier
- evaluate
- BinaryClassificationTrack
- MultiClassClassificationTrack
- RegressionTrack
- Track
- iter-progressive-val-score
- progressive-val-score
- facto
- FFMClassifier
- FFMRegressor
- FMClassifier
- FMRegressor
- FwFMClassifier
- FwFMRegressor
- HOFMClassifier
- HOFMRegressor
- feature-extraction
- Agg
- BagOfWords
- PolynomialExtender
- RBFSampler
- TFIDF
- TargetAgg
- feature-selection
- PoissonInclusion
- SelectKBest
- VarianceThreshold
- forest
- AMFClassifier
- AMFRegressor
- ARFClassifier
- ARFRegressor
- OXTRegressor
- imblearn
- ChebyshevOverSampler
- ChebyshevUnderSampler
- HardSamplingClassifier
- HardSamplingRegressor
- RandomOverSampler
- RandomSampler
- RandomUnderSampler
- linear-model
- ALMAClassifier
- BayesianLinearRegression
- LinearRegression
- LogisticRegression
- PAClassifier
- PARegressor
- Perceptron
- SoftmaxRegression
- base/GLM
- metrics
- Accuracy
- AdjustedMutualInfo
- AdjustedRand
- BalancedAccuracy
- ClassificationReport
- CohenKappa
- Completeness
- ConfusionMatrix
- CrossEntropy
- F1
- FBeta
- FowlkesMallows
- GeometricMean
- Homogeneity
- Jaccard
- LogLoss
- MAE
- MAPE
- MCC
- MSE
- MacroF1
- MacroFBeta
- MacroJaccard
- MacroPrecision
- MacroRecall
- MicroF1
- MicroFBeta
- MicroJaccard
- MicroPrecision
- MicroRecall
- MultiFBeta
- MutualInfo
- NormalizedMutualInfo
- Precision
- R2
- RMSE
- RMSLE
- ROCAUC
- Rand
- Recall
- RollingROCAUC
- SMAPE
- Silhouette
- VBeta
- WeightedF1
- WeightedFBeta
- WeightedJaccard
- WeightedPrecision
- WeightedRecall
- base
- BinaryMetric
- ClassificationMetric
- Metric
- Metrics
- MultiClassMetric
- RegressionMetric
- WrapperMetric
- multioutput
- ExactMatch
- MacroAverage
- MicroAverage
- MultiLabelConfusionMatrix
- PerOutput
- SampleAverage
- base
- MultiOutputClassificationMetric
- MultiOutputRegressionMetric
- misc
- SDFT
- Skyline
- model-selection
- BanditClassifier
- BanditRegressor
- GreedyRegressor
- SuccessiveHalvingClassifier
- SuccessiveHalvingRegressor
- base
- ModelSelectionClassifier
- ModelSelectionRegressor
- multiclass
- OneVsOneClassifier
- OneVsRestClassifier
- OutputCodeClassifier
- multioutput
- ClassifierChain
- MonteCarloClassifierChain
- MultiClassEncoder
- ProbabilisticClassifierChain
- RegressorChain
- naive-bayes
- BernoulliNB
- ComplementNB
- GaussianNB
- MultinomialNB
- neighbors
- KNNClassifier
- KNNRegressor
- LazySearch
- SWINN
- neural-net
- MLPRegressor
- activations
- Identity
- ReLU
- Sigmoid
- optim
- AMSGrad
- AdaBound
- AdaDelta
- AdaGrad
- AdaMax
- Adam
- Averager
- FTRLProximal
- Momentum
- Nadam
- NesterovMomentum
- RMSProp
- SGD
- base
- Initializer
- Loss
- Optimizer
- Scheduler
- initializers
- Constant
- Normal
- Zeros
- losses
- Absolute
- BinaryFocalLoss
- BinaryLoss
- Cauchy
- CrossEntropy
- EpsilonInsensitiveHinge
- Hinge
- Huber
- Log
- MultiClassLoss
- Poisson
- Quantile
- RegressionLoss
- Squared
- schedulers
- Constant
- InverseScaling
- Optimal
- overview
- preprocessing
- AdaptiveStandardScaler
- Binarizer
- FeatureHasher
- GaussianRandomProjector
- LDA
- MaxAbsScaler
- MinMaxScaler
- Normalizer
- OneHotEncoder
- OrdinalEncoder
- PredClipper
- PreviousImputer
- RobustScaler
- SparseRandomProjector
- StandardScaler
- StatImputer
- TargetMinMaxScaler
- TargetStandardScaler
- proba
- Beta
- Gaussian
- Multinomial
- MultivariateGaussian
- base
- BinaryDistribution
- ContinuousDistribution
- DiscreteDistribution
- Distribution
- reco
- Baseline
- BiasedMF
- FunkMF
- RandomNormal
- base/Ranker
- rules/AMRules
- sketch
- Counter
- HeavyHitters
- Histogram
- Set
- stats
- AbsMax
- AutoCorr
- BayesianMean
- Count
- Cov
- EWMean
- EWVar
- Entropy
- IQR
- KolmogorovSmirnov
- Kurtosis
- Link
- MAD
- Max
- Mean
- Min
- Mode
- NUnique
- PeakToPeak
- PearsonCorr
- Quantile
- RollingAbsMax
- RollingIQR
- RollingMax
- RollingMin
- RollingMode
- RollingPeakToPeak
- RollingQuantile
- SEM
- Shift
- Skew
- Sum
- Var
- base
- Bivariate
- Univariate
- stream
- Cache
- TwitchChatStream
- TwitterLiveStream
- iter-arff
- iter-array
- iter-csv
- iter-libsvm
- iter-pandas
- iter-polars
- iter-sklearn-dataset
- iter-sql
- shuffle
- simulate-qa
- time-series
- ForecastingMetric
- HoltWinters
- HorizonAggMetric
- HorizonMetric
- SNARIMAX
- base/Forecaster
- evaluate
- iter-evaluate
- tree
- ExtremelyFastDecisionTreeClassifier
- HoeffdingAdaptiveTreeClassifier
- HoeffdingAdaptiveTreeRegressor
- HoeffdingTreeClassifier
- HoeffdingTreeRegressor
- LASTClassifier
- SGTClassifier
- SGTRegressor
- base
- Branch
- Leaf
- iSOUPTreeRegressor
- splitter
- DynamicQuantizer
- EBSTSplitter
- ExhaustiveSplitter
- GaussianSplitter
- HistogramSplitter
- QOSplitter
- Quantizer
- Splitter
- StaticQuantizer
- TEBSTSplitter
- utils
- Rolling
- SortedWindow
- TimeRolling
- VectorDict
- expand-param-grid
- log-method-calls
- math
- argmax
- chain-dot
- clamp
- dot
- dotvecmat
- log-sum-2-exp
- matmul2d
- minkowski-distance
- norm
- outer
- prod
- sherman-morrison
- sigmoid
- sign
- softmax
- woodbury-matrix
- norm
- normalize-values-in-dict
- scale-values-in-dict
- pretty
- humanize-bytes
- print-table
- random
- exponential
- poisson
- assets
- images
- javascripts
- lunr
- min
- workers
- stylesheets
- benchmarks
- Binary classification
- Multiclass classification
- Regression
- css
- examples
- batch-to-online
- bike-sharing-forecasting
- building-a-simple-nowcasting-model
- building-a-simple-nowcasting-model_files
- content-personalization
- content-personalization_files
- debugging-a-pipeline
- imbalanced-learning
- matrix-factorization-for-recommender-systems
- part-1
- part-2
- part-3
- quantile-regression-uncertainty
- quantile-regression-uncertainty_files
- sentence-classification
- sentence_classification_files
- the-art-of-using-pipelines
- faq
- img
- introduction
- basic-concepts
- getting-started
- binary-classification
- concept-drift-detection
- concept-drift-detection_files
- multiclass-classification
- regression
- installation
- next-steps
- why-use-river
- javascripts
- js
- license/license
- overrides
- partials
- integrations
- parse
- __pycache__
- recipes
- active-learning
- bandits-101
- bandits-101_files
- cloning-and-mutating
- feature-extraction
- hyperparameter-tuning
- mini-batching
- model-evaluation
- on-hoeffding-trees
- on-hoeffding-trees_files
- pipelines
- pipelines_files
- reading-data
- rolling-computations
- releases
- 0.0.2
- 0.0.3
- 0.1.0
- 0.10.0
- 0.10.1
- 0.11.0
- 0.11.1
- 0.12.0
- 0.12.1
- 0.13.0
- 0.14.0
- 0.15.0
- 0.16.0
- 0.17.0
- 0.18.0
- 0.19.0
- 0.2.0
- 0.20.0
- 0.20.1
- 0.21.0
- 0.21.1
- 0.21.2
- 0.22.0
- 0.3.0
- 0.4.1
- 0.4.3
- 0.4.4
- 0.5.0
- 0.5.1
- 0.6.0
- 0.6.1
- 0.7.0
- 0.7.1
- 0.8.0
- 0.9.0
- unreleased
- search
- stylesheets
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