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River
WrapperMixin
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River
online-ml/river
Home
Getting started
Getting started
In a nutshell
Installation
User guide
User guide
Reading data
Model evaluation
Pipelines
Feature extraction
Hyperparameter tuning
Mini-batching
Incremental decision trees in river: the Hoeffding Tree case
API reference
API reference
Overview
anomaly
anomaly
HalfSpaceTrees
base
base
AnomalyDetector
Base
Classifier
Clusterer
DriftDetector
EnsembleMixin
Estimator
MiniBatchClassifier
MiniBatchRegressor
MultiOutputMixin
Regressor
SupervisedTransformer
Transformer
WrapperMixin
cluster
cluster
CluStream
DBSTREAM
DenStream
KMeans
STREAMKMeans
compat
compat
PyTorch2RiverRegressor
River2SKLClassifier
River2SKLClusterer
River2SKLRegressor
River2SKLTransformer
SKL2RiverClassifier
SKL2RiverRegressor
convert_river_to_sklearn
convert_sklearn_to_river
compose
compose
Discard
FuncTransformer
Grouper
Pipeline
Renamer
Select
SelectType
TransformerUnion
datasets
datasets
AirlinePassengers
Bananas
Bikes
ChickWeights
CreditCard
Elec2
HTTP
Higgs
ImageSegments
Insects
MaliciousURL
MovieLens100K
Music
Phishing
Restaurants
SMSSpam
SMTP
SolarFlare
TREC07
Taxis
TrumpApproval
drift
drift
ADWIN
DDM
EDDM
HDDM_A
HDDM_W
KSWIN
PageHinkley
dummy
dummy
NoChangeClassifier
PriorClassifier
StatisticRegressor
ensemble
ensemble
ADWINBaggingClassifier
AdaBoostClassifier
AdaptiveRandomForestClassifier
AdaptiveRandomForestRegressor
BaggingClassifier
BaggingRegressor
LeveragingBaggingClassifier
SRPClassifier
evaluate
evaluate
Track
load_binary_clf_tracks
progressive_val_score
expert
expert
EWARegressor
EpsilonGreedyRegressor
StackingClassifier
SuccessiveHalvingClassifier
SuccessiveHalvingRegressor
UCBRegressor
facto
facto
FFMClassifier
FFMRegressor
FMClassifier
FMRegressor
FwFMClassifier
FwFMRegressor
HOFMClassifier
HOFMRegressor
feature_extraction
feature_extraction
Agg
BagOfWords
PolynomialExtender
RBFSampler
TFIDF
TargetAgg
feature_selection
feature_selection
PoissonInclusion
SelectKBest
VarianceThreshold
imblearn
imblearn
HardSamplingClassifier
HardSamplingRegressor
RandomOverSampler
RandomSampler
RandomUnderSampler
linear_model
linear_model
ALMAClassifier
LinearRegression
LogisticRegression
PAClassifier
PARegressor
Perceptron
SoftmaxRegression
meta
meta
BoxCoxRegressor
PredClipper
TransformedTargetRegressor
metrics
metrics
Accuracy
BalancedAccuracy
BinaryMetric
ClassificationMetric
ClassificationReport
CohenKappa
ConfusionMatrix
CrossEntropy
ExactMatch
ExampleF1
ExampleFBeta
ExamplePrecision
ExampleRecall
F1
FBeta
GeometricMean
Hamming
HammingLoss
Jaccard
KappaM
KappaT
LogLoss
MAE
MCC
MSE
MacroF1
MacroFBeta
MacroPrecision
MacroRecall
Metric
Metrics
MicroF1
MicroFBeta
MicroPrecision
MicroRecall
MultiClassMetric
MultiFBeta
MultiLabelConfusionMatrix
MultiOutputClassificationMetric
MultiOutputRegressionMetric
Precision
R2
RMSE
RMSLE
ROCAUC
Recall
RegressionMetric
RegressionMultiOutput
Rolling
SMAPE
TimeRolling
WeightedF1
WeightedFBeta
WeightedPrecision
WeightedRecall
WrapperMetric
cluster
cluster
BIC
BallHall
CalinskiHarabasz
Cohesion
DaviesBouldin
GD43
GD53
Hartigan
IIndex
InternalMetric
MSSTD
PS
R2
RMSSTD
SD
SSB
SSW
Separation
Silhouette
WB
XieBeni
Xu
multiclass
multiclass
OneVsOneClassifier
OneVsRestClassifier
OutputCodeClassifier
multioutput
multioutput
ClassifierChain
MonteCarloClassifierChain
ProbabilisticClassifierChain
RegressorChain
naive_bayes
naive_bayes
BernoulliNB
ComplementNB
GaussianNB
MultinomialNB
neighbors
neighbors
KNNADWINClassifier
KNNClassifier
KNNRegressor
SAMKNNClassifier
neural_net
neural_net
MLPRegressor
activations
activations
Identity
ReLU
Sigmoid
optim
optim
AMSGrad
AdaBound
AdaDelta
AdaGrad
AdaMax
Adam
Averager
FTRLProximal
Momentum
Nadam
NesterovMomentum
Optimizer
RMSProp
SGD
initializers
initializers
Constant
Normal
Zeros
losses
losses
Absolute
BinaryFocalLoss
BinaryLoss
Cauchy
CrossEntropy
EpsilonInsensitiveHinge
Hinge
Log
MultiClassLoss
Poisson
Quantile
RegressionLoss
Squared
schedulers
schedulers
Constant
InverseScaling
Optimal
Scheduler
preprocessing
preprocessing
AdaptiveStandardScaler
Binarizer
FeatureHasher
LDA
MaxAbsScaler
MinMaxScaler
Normalizer
OneHotEncoder
PreviousImputer
RobustScaler
StandardScaler
StatImputer
proba
proba
Gaussian
Multinomial
reco
reco
Baseline
BiasedMF
FunkMF
RandomNormal
SurpriseWrapper
stats
stats
AbsMax
AutoCorr
BayesianMean
Bivariate
Count
Cov
EWMean
EWVar
Entropy
IQR
Kurtosis
Link
Max
Mean
Min
Mode
NUnique
PeakToPeak
PearsonCorr
Quantile
RollingAbsMax
RollingCov
RollingIQR
RollingMax
RollingMean
RollingMin
RollingMode
RollingPeakToPeak
RollingPearsonCorr
RollingQuantile
RollingSEM
RollingSum
RollingVar
SEM
Shift
Skew
Sum
Univariate
Var
stream
stream
Cache
iter_arff
iter_array
iter_csv
iter_libsvm
iter_pandas
iter_sklearn_dataset
iter_sql
iter_vaex
shuffle
simulate_qa
synth
synth
Agrawal
AnomalySine
ConceptDriftStream
Friedman
FriedmanDrift
Hyperplane
LED
LEDDrift
Logical
Mixed
Mv
Planes2D
RandomRBF
RandomRBFDrift
RandomTree
SEA
STAGGER
Sine
Waveform
time_series
time_series
Detrender
GroupDetrender
SNARIMAX
tree
tree
ExtremelyFastDecisionTreeClassifier
HoeffdingAdaptiveTreeClassifier
HoeffdingAdaptiveTreeRegressor
HoeffdingTreeClassifier
HoeffdingTreeRegressor
LabelCombinationHoeffdingTreeClassifier
iSOUPTreeRegressor
splitter
splitter
EBSTSplitter
ExhaustiveSplitter
GaussianSplitter
HistogramSplitter
QOSplitter
Splitter
TEBSTSplitter
utils
utils
Histogram
SDFT
Skyline
SortedWindow
VectorDict
Window
check_estimator
dict2numpy
expand_param_grid
numpy2dict
math
math
argmax
chain_dot
clamp
dot
dotvecmat
matmul2d
minkowski_distance
norm
outer
prod
sherman_morrison
sigmoid
sign
softmax
pretty
pretty
humanize_bytes
print_table
Examples
Examples
From batch to online/stream
Bike-sharing forecasting
Building a simple time series model
Concept Drift
Debugging a pipeline
Working with imbalanced data
Matrix Factorization for Recommender Systems - Part 1
Matrix Factorization for Recommender Systems - Part 2
Matrix Factorization for Recommender Systems - Part 3
Handling uncertainty with quantile regression
Sentence classification
The art of using pipelines
FAQ
FAQ
Frequently Asked Questions
Releases
Releases
Unreleased
0.6.1 - 2020-06-10
0.6.0 - 2020-06-09
0.5.1 - 2020-03-29
0.5.0 - 2020-03-13
0.4.4 - 2019-11-11
0.4.3 - 2019-10-27
0.4.1 - 2019-10-23
0.3.0 - 2019-06-23
0.2.0 - 2019-05-27
0.1.0 - 2019-05-08
0.0.3 - 2019-03-21
0.0.2 - 2019-02-13
WrapperMixin
¶
A wrapper model.