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River

argmax

online-ml/river

Introduction
Recipes
API
Examples
FAQ
Releases
Benchmarks
License

River

online-ml/river

Introduction
Recipes
API
API
- Overview
- active
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
  utils
  - Rolling
  - SortedWindow
  - TimeRolling
  - VectorDict
  - expand_param_grid
  - log_method_calls
  - math
    math
    
    argmax argmax
    On this page
    
    Parameters
    
    chain_dot
    
    clamp
    
    dot
    
    dotvecmat
    
    log_sum_2_exp
    
    matmul2d
    
    minkowski_distance
    
    norm
    
    outer
    
    prod
    
    sherman_morrison
    
    sigmoid
    
    sign
    
    softmax
    
    woodbury_matrix
  - norm
  - pretty
  - random
  - EntropySampler
  - base
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
- anomaly
- bandit
- base
- cluster
- compat
- compose
- conf
- covariance
- datasets
- drift
- dummy
- ensemble
- evaluate
- facto
- feature_extraction
- feature_selection
- forest
- imblearn
- linear_model
- metrics
- misc
- model_selection
- multiclass
- multioutput
- naive_bayes
- neighbors
- neural_net
- optim
- preprocessing
- proba
- reco
- rules
- sketch
- stats
- stream
- time_series
- tree
- utils
Examples
FAQ
Releases
Benchmarks
License

On this page

Parameters

argmax¶

Argmax function.

Parameters¶

lst

Type → Sequence[base.typing.SupportsComparison]

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