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River
norm
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online-ml/river
Introduction 🍼
Recipes 🌮
API reference 🍱
Examples 🌶️
FAQ
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River
online-ml/river
Introduction 🍼
Recipes 🌮
API reference 🍱
API reference 🍱
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
dict2numpy
expand_param_grid
log_method_calls
numpy2dict
math
math
argmax
chain_dot
clamp
dot
dotvecmat
log_sum_2_exp
matmul2d
minkowski_distance
norm
norm
Table of contents
Parameters
outer
prod
sherman_morrison
sigmoid
sign
softmax
woodbury_matrix
norm
pretty
random
Examples 🌶️
FAQ
Releases
Benchmarks
Table of contents
Parameters
norm
¶
Compute the norm of a dictionaries values.
Parameters
¶
x
Type
→
dict
order
Default
→
None