Update lgbm to v2.3.1 (#5851)

* Update Versions.props

* Update Versions.props

* Update Versions.props

Changed to latest of version 2

* update baseline output for light gbm ranking

Co-authored-by: Michael Sharp <[email protected]>
Co-authored-by: XiaoYun Zhang <[email protected]>

Author: LittleLittleCloud

eng/Versions.props

@@ -19,7 +19,7 @@
     <SystemThreadingChannelsPackageVersion>4.7.1</SystemThreadingChannelsPackageVersion>
     <!-- Other/External dependencies -->
     <GoogleProtobufPackageVersion>3.10.1</GoogleProtobufPackageVersion>
-    <LightGBMPackageVersion>2.2.3</LightGBMPackageVersion>
+    <LightGBMPackageVersion>2.3.1</LightGBMPackageVersion>
     <MicrosoftExtensionsPackageVersion>2.1.0</MicrosoftExtensionsPackageVersion>
     <MicrosoftMLOnnxRuntimePackageVersion>1.6.0</MicrosoftMLOnnxRuntimePackageVersion>
     <MlNetMklDepsPackageVersion>0.0.0.9</MlNetMklDepsPackageVersion>

test/BaselineOutput/Common/FeatureContribution/LightGbmRanking.tsv

@@ -13,7 +13,7 @@
 #@   col=FeatureContributions:R4:33-38
 #@   col=FeatureContributions:R4:39-44
 #@ }
-950	757	692	720	297	7515	4	1	0	950	757	692	720	297	7515	0.956696868	0.760804	0.7872582	0.754716933	0.297893673	0.7578661	0.67846173	0	0	0.453011572	0	1	18	4:-1	10:-0.09636109	11:1	16:-0.08202157	17:0.8511897
-459	961	0	659	274	2147	1	1	0	459	961	0	659	274	2147	0.462235659	0.965829134	0	0.690775633	0.27482447	0.21651876	0.475736767	0.736526251	0	1	0	0	18	5:-1	9:0.0479629934	11:-1	15:0.430636883	17:-8.978524
-672	275	0	65	195	9818	4	1	0	672	275	0	65	195	9818	0.6767372	0.2763819	0	0.06813417	0.195586756	0.990116954	0.161843479	0	0	0	0	1	0	-0.99999994	0	-0.8444566	-0.413860559	0	12	1:-0.10516832	5:1	7:-0.4455722	11:4.236753
-186	301	0	681	526	1456	0	1	0	186	301	0	681	526	1456	0.187311172	0.302512556	0	0.713836432	0.527582765	0.1468334	0.7739468	0	0	1	0	0	0	-0.0289630964	0	0	-0.0137862926	-1	12	3:0.04732094	5:-1	9:0.430636883	11:-9.100346
+950	757	692	720	297	7515	4	1	0	950	757	692	720	297	7515	0.956696868	0.760804	0.7872582	0.754716933	0.297893673	0.7578661	24	3:0.383134037	5:1	6:-0.9192525	10:-1	16:-0.2646893	17:1	22:-0.5723001	23:2.162158
+459	961	0	659	274	2147	1	1	0	459	961	0	659	274	2147	0.462235659	0.965829134	0	0.690775633	0.27482447	0.21651876	1	0.164955541	0	0.08735034	0	0	18	5:-1	6:0.110308476	11:-1	12:1.25388193	17:-11.36705
+672	275	0	65	195	9818	4	1	0	672	275	0	65	195	9818	0.6767372	0.2763819	0	0.06813417	0.195586756	0.990116954	24	0:0.0193515085	5:1	9:-0.902932465	10:-0.99999994	16:-0.1030465	17:1	22:-0.7474492	23:7.253514
+186	301	0	681	526	1456	0	1	0	186	301	0	681	526	1456	0.187311172	0.302512556	0	0.713836432	0.527582765	0.1468334	24	3:0.99999994	6:-0.0397184677	7:-0.0161588676	11:-1	15:0.008556744	17:-1	21:0.109527007	23:-12.8000793

test/Microsoft.ML.Tests/FeatureContributionTests.cs

@@ -249,7 +249,7 @@ private void CheckOutput(IEstimator<ITransformer> estimator, IDataView data, str
 
         /// <summary>
         /// Features: x1, x2vBuff(sparse vector), x3. 
-        /// y = 10x1 + 10x2vBuff + 30x3 + e.
+        /// y = 10x1 + 10x2vBuff + 20x3 + e.
         /// Within xBuff feature  2nd slot will be sparse most of the time.
         /// 2nd slot of xBuff has the least importance: Evaluation metrics do not change a lot when this slot is permuted.
         /// x3 has the biggest importance.