From 8d12bf2547417767223f039220f38b55331d7aa0 Mon Sep 17 00:00:00 2001 From: Zeng Fung Liew Date: Fri, 21 Jan 2022 12:12:49 -0800 Subject: [PATCH] Merging updates to conform to JOSS guidelines (#46) * Update code examples for paper/paper.md to follow syntax of v0.1.14 * Update to VERSION v0.1.15 * No changes in functionalities in current patch update. Only fixes and additions are made to follow JOSS guidelines. * Remove OhMyREPL and Revise from Project.toml --- Project.toml | 2 +- paper/bestbasis.png | Bin 12969 -> 13058 bytes paper/denoising.png | Bin 90089 -> 95236 bytes paper/examples.jl | 8 ++++---- paper/ldb.png | Bin 55619 -> 55486 bytes paper/paper.md | 6 +++--- 6 files changed, 8 insertions(+), 8 deletions(-) diff --git a/Project.toml b/Project.toml index 92ec7a9..65a78dc 100644 --- a/Project.toml +++ b/Project.toml @@ -1,7 +1,7 @@ name = "WaveletsExt" uuid = "8f464e1e-25db-479f-b0a5-b7680379e03f" authors = ["Zeng Fung Liew ", "Shozen Dan "] -version = "0.1.14" +version = "0.1.15" [deps] AverageShiftedHistograms = "77b51b56-6f8f-5c3a-9cb4-d71f9594ea6e" diff --git a/paper/bestbasis.png b/paper/bestbasis.png index c415c3296804cf8836a61ea4e12f9b271d015d41..064dfa949cc1431db1debcaf94b506963334e9be 100644 GIT binary patch literal 13058 zcmcJ02UL^omUV2XA0JIA8Uz$9s1!v4NEHPEL3)#_NHcWl9Yv)Hh)5SfM5+)FLWd|w 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Best Basis Algorithms ----------------------------------------------------------------- # Compared to Wavelets.jl, WaveletsExt.jl has an extended ability of catering toward @@ -39,12 +39,12 @@ xw = wpdall(x, wt, 6) # ----- Joint Best Basis (JBB) tree = bestbasistree(xw, JBB()) -p1 = plot_tfbdry(tree, 6, nd_col=:green, ln_col=:black, bg_col=:white) |> +p1 = plot_tfbdry(tree, 6, node_color=:green, line_color=:black, background_color=:white) |> p -> plot!(p, title="JBB") # ----- Least Statistically Dependent Basis (LSDB) tree = bestbasistree(xw, LSDB()) -p2 = plot_tfbdry(tree, 6, nd_col=:green, ln_col=:black, bg_col=:white) |> +p2 = plot_tfbdry(tree, 6, node_color=:green, line_color=:black, background_color=:white) |> p -> plot!(p, title="LSDB") # Combine and save plot @@ -118,7 +118,7 @@ ldb = LocalDiscriminantBasis(wt=wt, X̂ = fit_transform(ldb, X, y) # Plot the best basis for feature extraction -p2 = plot_tfbdry(ldb.tree, 6, nd_col=:green, ln_col=:black, bg_col=:white) +p2 = 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zMGt^F?}y3g8yeaL_X%FQ3l}B?l@`8x|0!CA*%AQa!MnH5CJ6JJ>Q4!R4VeFQc#QY| rJK}|Z`Q!St9*WtNt=e?qc9{>mvRaS}ZSe diff --git a/paper/paper.md b/paper/paper.md index da6a6c5..3e9bb68 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -71,12 +71,12 @@ xw = wpdall(x, wt, 6) # ----- Joint Best Basis (JBB) tree = bestbasistree(xw, JBB()) -p1 = plot_tfbdry(tree, nd_col=:black, ln_col=:black, bg_col=:white) |> +p1 = plot_tfbdry(tree, node_color=:green, line_color=:black, background_color=:white) |> p -> plot!(p, title="JBB") # ----- Least Statistically Dependent Basis (LSDB) tree = bestbasistree(xw, LSDB()) -p2 = plot_tfbdry(tree, nd_col=:black, ln_col=:black, bg_col=:white) |> +p2 = plot_tfbdry(tree, node_color=:green, line_color=:black, background_color=:white) |> p -> plot!(p, title="LSDB") # Combine and save plot @@ -159,7 +159,7 @@ ldb = LocalDiscriminantBasis( X̂ = fit_transform(ldb, X, y) # Plot the best basis for feature extraction -p2 = plot_tfbdry(ldb.tree, nd_col=:black, ln_col=:black, bg_col=:white) +p2 = plot_tfbdry(ldb.tree, node_color=:green, line_color=:black, background_color=:white) plot!(p2, title="Basis Selection using LDB") # Combine and save plot