gitignore

Author: jaksle

.gitignore

@@ -3,3 +3,4 @@ Manifest.toml
 .vscode/settings.json
 tmp.jl
 Project.toml
+interp.jl

src/exampleUse.jl

@@ -1,9 +1,3 @@
-# use scale instead of std
-# LocationScale ?
-# you can use support to detect 
-# argument for boundary?
-# give any kernel?
-# fix cosine distribution
 
 using Plots
 
@@ -32,7 +26,6 @@ k2 = kernel_estimate(X, Silverman(), Epanechnikov)
 
 k3 = kernel_estimate(X, LSCV(), Epanechnikov)
 
-
 precompute!(k2,2048,(-5,5))
 
 pdf(k2, 1)

src/feature_computation.jl

@@ -63,7 +63,7 @@ end
 function pdf(ke::UnivariateKernelEstimate, x::Real, method::Symbol)
     if method == :precomputed
         den = ke.precomputedPDF
-        den === nothing || error("PDF must be first precomputed.")
+        den === nothing && error("PDF must be first precomputed.")
         itp_u = interpolate(den.values, BSpline(Quadratic(Line(OnGrid()))))
         itp = scale(itp_u, den.xs)
         etp = extrapolate(itp, 0.)
@@ -79,7 +79,7 @@ end
 function Base.Broadcast.broadcasted(::typeof(pdf), ke::UnivariateKernelEstimate, xs, method::Symbol)
         if method == :precomputed
             den = ke.precomputedPDF
-            den === nothing || error("PDF must be first precomputed.")
+            den === nothing && error("PDF must be first precomputed.")
             itp_u = interpolate(den.values, BSpline(Quadratic(Line(OnGrid()))))
             itp = scale(itp_u, den.xs)
             etp = extrapolate(itp, 0.)

src/initialisation.jl

@@ -65,8 +65,8 @@ struct Silverman<:BandwidthMethod end
 
 # implementing common interface of AbstractMixtureModel
 ncomponents(ke::KernelEstimate) = size(ke.data)[2]
-component(ke::UnivariateKernelEstimate, k) = ke.kernel - ke.data[1,k]
-component(ke::MultivariateKernelEstimate, k) = ke.kernel - ke.data[:,k]
+component(ke::UnivariateKernelEstimate, k) = ke.kernel + ke.data[1,k]
+component(ke::MultivariateKernelEstimate, k) = ke.kernel + ke.data[:,k]
 probs(ke::KernelEstimate) = probs(ke.prior)