Merge pull request #112 from PyDataBlog/finalv1

Public release v1.0.0

Author: PyDataBlog

.gitignore

@@ -14,3 +14,4 @@
 test/experiments.jl
 /extras/.ipynb_checkpoints/*
 .Rproj.user
+

Project.toml

@@ -26,3 +26,4 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
 test = ["Test", "Random", "Suppressor", "MLJBase", "StableRNGs"]
+

README.md

@@ -8,7 +8,7 @@
 [![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2FPyDataBlog%2FParallelKMeans.jl.svg?type=shield)](https://app.fossa.com/projects/git%2Bgithub.com%2FPyDataBlog%2FParallelKMeans.jl?ref=badge_shield)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/PyDataBlog/ParallelKMeans.jl/master)
 _________________________________________________________________________________________________________
-**Authors:** [Bernard Brenyah](https://www.linkedin.com/in/bbrenyah/) & [Andrey Oskin](https://www.linkedin.com/in/andrej-oskin-b2b03959/)
+**Authors:** [Bernard Brenyah](https://www.linkedin.com/in/bbrenyah/) AND [Andrey Oskin](https://www.linkedin.com/in/andrej-oskin-b2b03959/)
 _________________________________________________________________________________________________________
 
 <div align="center">

docs/src/index.md

@@ -212,12 +212,12 @@ ________________________________________________________________________________
 - 0.1.5 Added `Yinyang` algorithm.
 - 0.1.6 Added support for weighted k-means; Added `Coreset` algorithm; improved support for different types of the design matrix.
 - 0.1.7 Added `Yinyang` and `Coreset` support in MLJ interface; added `weights` support in MLJ; added RNG seed support in MLJ interface and through all algorithms; added metric support.
-- 0.1.8 Minor cleanup
-- 0.1.9 Added travis support for Julia 1.5
-- 0.2.0 Updated MLJ Interface
-- 0.2.1 Initial Mini-batch implementation
-- 0.2.2 Updated MLJInterface
-- 1.0.0 Stable public release
+- 0.1.8 Minor cleanup.
+- 0.1.9 Added travis support for Julia 1.5.
+- 0.2.0 Updated MLJ Interface.
+- 0.2.1 Initial Mini-batch implementation.
+- 0.2.2 Updated MLJInterface.
+- 1.0.0 Stable public release.
 
 ## Contributing
 

extras/benchmark_plot.jl

@@ -6,9 +6,6 @@ using Chain
 
 data = CSV.read("extras/updated_benchmarks_may_1.csv", DataFrame)
 
-#data2 = stack(data, 1:4)
-#unstack(data2, :variable, :package, :value) |> CSV.write("extras/wide.csv")
-
 long_data = @chain data begin
     rename(_, [replace(x, " " => "_") for x in names(_)])
     rename(_, [replace(x, "_sample_(secs)" => "") for x in names(_)])