diff --git a/dev/.documenter-siteinfo.json b/dev/.documenter-siteinfo.json index 9b00556..c840f03 100644 --- a/dev/.documenter-siteinfo.json +++ b/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.9.3","generation_timestamp":"2023-11-03T12:27:40","documenter_version":"1.1.2"}} \ No newline at end of file +{"documenter":{"julia_version":"1.9.3","generation_timestamp":"2023-11-03T16:12:48","documenter_version":"1.1.2"}} \ No newline at end of file diff --git a/dev/api/index.html b/dev/api/index.html index c436054..5ecd651 100644 --- a/dev/api/index.html +++ b/dev/api/index.html @@ -33,4 +33,4 @@ sum(o) mean(o) var(o) -std(o)source
WeightedOnlineStats.pca — Function
`pca` creates a PCA object from a `WeightedCovMatrix` object. Requires MultivariateStats to be loaded!
source
+std(o)source
WeightedOnlineStats.pca — Function
`pca` creates a PCA object from a `WeightedCovMatrix` object. Requires MultivariateStats to be loaded!
source
diff --git a/dev/index.html b/dev/index.html index 4320088..c6cc0de 100644 --- a/dev/index.html +++ b/dev/index.html @@ -1,2 +1,2 @@ -WeightedOnlineStats.jl · WeightedOnlineStats.jl
GitHub

WeightedOnlineStats.jl

A version onf OnlineStats.jl allowing observations with custom weights.

Basics

Creating

julia> using WeightedOnlineStats
julia> m = WeightedMean()WeightedMean: ∑wᵢ=0.0 | value=0.0
julia> x = randn(100);
julia> w = randn(100);

Updating

julia> fit!(m, x, w)WeightedMean: ∑wᵢ=3.57047 | value=-1.59652

Merging

julia> m2 = WeightedMean()WeightedMean: ∑wᵢ=0.0 | value=0.0
julia> x2 = rand(100);
julia> w2 = rand(100);
julia> fit!(m2, x2, w2)WeightedMean: ∑wᵢ=46.7357 | value=0.474723
julia> merge!(m, m2)WeightedMean: ∑wᵢ=50.3061 | value=0.327717
+WeightedOnlineStats.jl · WeightedOnlineStats.jl
GitHub

WeightedOnlineStats.jl

A version onf OnlineStats.jl allowing observations with custom weights.

Basics

Creating

julia> using WeightedOnlineStats
julia> m = WeightedMean()WeightedMean: ∑wᵢ=0.0 | value=0.0
julia> x = randn(100);
julia> w = randn(100);

Updating

julia> fit!(m, x, w)WeightedMean: ∑wᵢ=-3.16912 | value=-5.55433

Merging

julia> m2 = WeightedMean()WeightedMean: ∑wᵢ=0.0 | value=0.0
julia> x2 = rand(100);
julia> w2 = rand(100);
julia> fit!(m2, x2, w2)WeightedMean: ∑wᵢ=53.0475 | value=0.490339
julia> merge!(m, m2)WeightedMean: ∑wᵢ=49.8783 | value=0.874399