add config test and Hpo result

docs/en_US/CommunitySharings/HpoComparision.md

@@ -98,6 +98,7 @@ The total search space is 1,204,224, we set the number of maximum trial to 1000.
 | HyperBand     |0.414065|0.415222|0.417628|
 | HyperBand     |0.416807|0.417549|0.418828|
 | HyperBand     |0.415550|0.415977|0.417186|
+| GP            |0.414353|0.418563|0.420263|
 
 For Metis, there are about 300 trials because it runs slowly due to its high time complexity O(n^3) in Gaussian Process.
 

examples/trials/auto-gbdt/config.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/auto-gbdt/config_metis.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space_metis.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: MetisTuner
   classArgs:

examples/trials/auto-gbdt/config_pai.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

test/config_test/tuners/mnist-gp.test.yml

+authorName: nni
+experimentName: default_test
+maxExecDuration: 5m
+maxTrialNum: 2
+trialConcurrency: 1
+searchSpacePath: search_space.json
+
+tuner:
+  builtinTunerName: GPTuner
+  classArgs:
+    optimize_mode: maximize
+assessor:
+  builtinAssessorName: Medianstop
+  classArgs:
+    optimize_mode: maximize
+trial:
+  codeDir: ../../../examples/trials/mnist
+  command: python3 mnist.py --batch_num 100
+  gpuNum: 0
+
+useAnnotation: false
+multiPhase: false
+multiThread: false
+
+trainingServicePlatform: local