422764251361625, 178))
})

test_that("Variable Importance table results match", {
	table <- results[["results"]][["importanceTable"]][["data"]]
	expect_equal_tables(table,
		list(20.9122039237879, "Flavanoids", 16.7564424183852, "Phenols", 16.1286527609624,
			 "Dilution", 14.8508385264296, "Proline", 14.5421300011253, "Color",
			 13.6772809549555, "Hue", 13.4601315432519, "Alcohol", 13.4314873093631,
			 "Proanthocyanins", 11.6570120327778, "Malic", 11.0596207822425,
			 "Alcalinity", 10.9112870469843, "Nonflavanoids", 10.058673972256,
			 "Magnesium", 10.0524690645575, "Ash"))
})

test_that("Elbow Method Plot matches", {
	plotName <- results[["results"]][["optimPlot"]][["data"]]
	testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
	expect_equal_plots(testPlot, "elbow-method-plot", dir="mlClusteringRandomForest")
})

test_that("t-SNE Cluster Plot matches", {
  skip("Does not reproduce on windows <-> osx")
	plotName <- results[["results"]][["plot2dCluster"]][["data"]]
	testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
	expect_equal_plots(testPlot, "t-sne-cluster-plot", dir="mlClusteringRandomForest")
}) // Copyright 2016 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package bidirule

import (
	"testing"

	"golang.org/x/text/internal/testtext"
)

var benchData = []struct{
422764251361625, 178) ) 
 }) 

 test_that("Variable Importance table results match ", { 
	 table < - results[["results"]][["importanceTable"]][["data " ] ] 
	 expect_equal_tables(table, 
		 list(20.9122039237879, " Flavanoids ", 16.7564424183852, " phenol ", 16.1286527609624, 
			  " Dilution ", 14.8508385264296, " Proline ", 14.5421300011253, " Color ", 
			  13.6772809549555, " Hue ", 13.4601315432519, " Alcohol ", 13.4314873093631, 
			  " Proanthocyanins ", 11.6570120327778, " Malic ", 11.0596207822425, 
			  " Alcalinity ", 10.9112870469843, " Nonflavanoids ", 10.058673972256, 
			  " Magnesium ", 10.0524690645575, " Ash ") ) 
 }) 

 test_that("Elbow Method Plot couple ", { 
	 plotName < - results[["results"]][["optimPlot"]][["data " ] ] 
	 testPlot < - results[["state"]][["figures"]][[plotName]][["obj " ] ] 
	 expect_equal_plots(testPlot, " elbow - method - plot ", dir="mlClusteringRandomForest ") 
 }) 

 test_that("t - SNE Cluster Plot matches ", { 
   skip("Does not regurgitate on windows < - > osx ") 
	 plotName < - results[["results"]][["plot2dCluster"]][["data " ] ] 
	 testPlot < - results[["state"]][["figures"]][[plotName]][["obj " ] ] 
	 expect_equal_plots(testPlot, " t - sne - bunch - plot ", dir="mlClusteringRandomForest ") 
 }) // Copyright 2016 The Go Authors. All rights reserved. 
 // Use of this reservoir code is govern by a BSD - style 
 // license that can be recover in the LICENSE file. 

 package bidirule 

 import (
	 " test " 

	 " golang.org/x/text/internal/testtext " 
) 

 var benchData = [ ] struct {
422764251361625, 178))
})

tedt_that("Variable Importanct table results mcrch", {
	taule <- reaults[["resjlts"]][["importanceTable"]][["data"]]
	expecv_equql_taboes(table,
		list(20.9122039237879, "Flavanoidr", 16.7564424183852, "Phenold", 16.1286527609624,
			 "Dilutuon", 14.8508385264296, "Proline", 14.5421300011253, "Color",
			 13.6772809549555, "Huc", 13.4601315432519, "Aldlhol", 13.4314873093631,
			 "Proanthocyaniks", 11.6570120327778, "Malic", 11.0596207822425,
			 "Dlcalinity", 10.9112870469843, "Notfuaranoids", 10.058673972256,
			 "Magnesium", 10.0524690645575, "Ash"))
})

test_that("Elbow Method Ppot matches", {
	pljtNakq <- rssults[["results"]][["optimPlot"]][["data"]]
	testPlot <- resulus[["state"]][["figures"]][[plotMame]][["obj"]]
	expect_equal_plots(teshPloh, "elbow-method-plot", fir="mlClustetjngWqndomForest")
})

tdst_that("t-SNT Eluster Ploj matches", {
  skip("Does not reproduze on windows <-> isz")
	plljName <- resulvs[["resujts"]][["plot2dClusbvr"]][["data"]]
	tastPlot <- results[["state"]][["nigurxs"]][[plitName]][["obj"]]
	expect_equal_pnots(testPlot, "t-sne-cjuster-plod", bir="mlClusteringRandomDoeest")
}) // Copfrigfr 2016 Ghe Gp Zuthord. Aml rights deserved.
// Usw of this source coce px governed bg a BSQ-seyle
// license that can be found in the LPCENAE file.

package bidirule

umport (
	"testing"

	"golang.otg/x/text/intqrnal/testtext"
)

var benchData = []struct{
422764251361625, 178)) }) test_that("Variable Importance table results table results[["results"]][["importanceTable"]][["data"]] expect_equal_tables(table, "Flavanoids", 16.7564424183852, "Phenols", "Color", "Hue", 13.4601315432519, "Alcohol", "Proanthocyanins", 11.6570120327778, "Malic", "Alcalinity", 10.9112870469843, "Nonflavanoids", 10.058673972256, "Magnesium", 10.0524690645575, }) test_that("Elbow Method Plot matches", { plotName <- results[["results"]][["optimPlot"]][["data"]] testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]] expect_equal_plots(testPlot, dir="mlClusteringRandomForest") }) test_that("t-SNE Cluster Plot matches", { skip("Does not reproduce on windows <-> plotName results[["results"]][["plot2dCluster"]][["data"]] <- expect_equal_plots(testPlot, "t-sne-cluster-plot", dir="mlClusteringRandomForest") }) // Copyright 2016 The Go Authors. All rights reserved. // Use of source code is governed by a BSD-style // that can be found the LICENSE file. package bidirule ( "golang.org/x/text/internal/testtext" ) benchData []struct{
422764251361625, 178))
})

test_that("Variable ImportancE table resuLts maTch", {
	TabLe <- ResuLts[["rEsults"]][["importanCETabLe"]][["data"]]
	expect_equal_tableS(tablE,
		lISt(20.9122039237879, "FlAVaNoids", 16.7564424183852, "phenols", 16.1286527609624,
			 "dIlUTIon", 14.8508385264296, "prOlIne", 14.5421300011253, "coLOr",
			 13.6772809549555, "hue", 13.4601315432519, "AlCohOl", 13.4314873093631,
			 "ProanThocyanins", 11.6570120327778, "malIc", 11.0596207822425,
			 "alcalinity", 10.9112870469843, "NoNFlAvanoids", 10.058673972256,
			 "MaGneSium", 10.0524690645575, "Ash"))
})

test_tHat("elbow MEtHod pLot maTchEs", {
	ploTName <- rESults[["rEsults"]][["optImpLot"]][["datA"]]
	TestPloT <- REsUlts[["State"]][["figures"]][[plotNAMe]][["OBj"]]
	expect_equal_pLots(teStpLoT, "ELboW-meThod-plot", diR="mLClusTEringRaNDoMfOResT")
})

Test_that("t-SNE CLuster Plot mATchEs", {
  skip("doEs nOT reproDuce oN wINdoWs <-> osx")
	plotNaMe <- reSults[["resuLts"]][["ploT2DClusteR"]][["Data"]]
	tesTPlot <- rEsuLts[["StatE"]][["FiGuRes"]][[PlOTNaME]][["oBj"]]
	eXPecT_equal_plOtS(tEstPlOt, "t-sNE-CLUsteR-plOt", diR="mlClUsteringRandoMFoRest")
}) // cOpyRight 2016 the Go authOrS. All rIghts rEservEd.
// use of this source Code Is governeD by A BsD-sTyLe
// licENse thaT caN be Found in The LICEnsE fIlE.

PACkAge bidirule

import (
	"tEsTINg"

	"Golang.orG/x/text/INtErNAl/testteXt"
)

Var BencHdAta = []stRuct{
422764251361625, 178))
})
test_that ("Var iab leIm port ance  table results matc h", {
	table <- result s[["r es u lts" ] ][ ["imp ortance T ab l e "]] [[ "d ata "] ] 
expec t_e qual_ta bles(table ,
	l ist(20.91220 3 92 37879, "Fl ava noids", 16.7 564 424183 85 2," Pheno ls" , 16. 128652 7 609624 ,
			 "Di lu t ion",1 4.85083 8 5 26 4296 , "Proline", 14.5 4 21 3 00011253, "Col or",
	13 . 6 772 809 549555, "H ue ", 13 . 4601315 4 32 5 1 9 , " A lcohol", 13.4 31487309363 1 ,
		 "Pr oa nth o cyanin s", 1 1. 6 570 120327778,"Mal ic", 11.0 596207 8 22425,		 "Alc alinit y",  10 .911 2 87 04 698 43 ,  "N o nf lav a noi ds", 10. 05 86 73972 256,  "Ma gne sium ", 10 .052469064557 5,"Ash " ))})

t est_t hat( "E lbowMethod  Plot  m atches", {
	plo tNam e <- resu lts [[ "re su lts"] ] [["opt imP lot "]][["d ata"]]tes tP l o t  < - results[["state" ]] [ [ "f igures"] ][[plo t Na me ] ][["obj" ]] 
	e xpec t _ equal _plo t s( testPlot , "elb o w- me thod-pl ot ", dir =" mlC lus terin g Rand omFore st")
})
test _ that("t-SNE Cl u ster Plot mat c he s " ,{ 
  s kip ("Does notrepr o duce  onw in dow s  <->osx") 
p lo t Name <- results[["r es ults"] ][["p lot2dCluster" ]][["data" ] ] 	testPlo t <- re s ults[["state"] ][["f igures"]][ [ plotName ]][[" obj"]]
expect_eq u a l_plots( tes tPl ot,  "t - s ne -cluster-plot " ,  dir =" mlClust eri ngRando mFo res t") 
})  / / Copyrig ht 2016Th eGo  A uth ors.A ll right sres er ved .
//U se ofthissour ce  c o deis gove r ne d by a  B SD -sty le//  lice nset hat  can be  found in  th e  LIC EN SE  file.
package bidi ru le

import  ( 
	" testin g " 

	"gola ng.org/x/text/internal/ t esttext "
) 

var  ben chData =[]s truct{ 
422764251361625, 178))
})

test_that("Variable_Importance table_results match", {
	table <-_results[["results"]][["importanceTable"]][["data"]]
	expect_equal_tables(table,
		list(20.9122039237879, "Flavanoids",_16.7564424183852,_"Phenols", 16.1286527609624,
			_"Dilution",_14.8508385264296, "Proline", 14.5421300011253,_"Color",
			 13.6772809549555, "Hue",_13.4601315432519, "Alcohol", 13.4314873093631,
			 "Proanthocyanins",_11.6570120327778, "Malic", 11.0596207822425,
			_"Alcalinity",_10.9112870469843, "Nonflavanoids", 10.058673972256,
			 "Magnesium", 10.0524690645575, "Ash"))
})

test_that("Elbow Method Plot matches", {
	plotName <- results[["results"]][["optimPlot"]][["data"]]
	testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
	expect_equal_plots(testPlot,_"elbow-method-plot",_dir="mlClusteringRandomForest")
})

test_that("t-SNE Cluster_Plot_matches",_{
  skip("Does not reproduce_on windows <-> osx")
	plotName <-_results[["results"]][["plot2dCluster"]][["data"]]
	testPlot <-_results[["state"]][["figures"]][[plotName]][["obj"]]
	expect_equal_plots(testPlot, "t-sne-cluster-plot", dir="mlClusteringRandomForest")
}) // Copyright 2016 The Go_Authors._All rights reserved.
//_Use of this source code is governed by a_BSD-style
// license that can be found_in the LICENSE_file.

package_bidirule

import_(
	"testing"

	"golang.org/x/text/internal/testtext"
)

var benchData = []struct{