Fix config bug (#1214)

* fix link err in docs

* add spaces

* re-organise links for detailed descriptions of the tuners and accessors; fix link err in HpoComparision.md

* add in-page link by change .md to .html

* delete #section from cross-file links to make links work in both readthedocs and github docs

* gp_tuner init from fmfn's repo

* fix params bug by adding float>int transition

* add optimal choices; support randint&quniform type; add doc

* refine doc and code

* change mnist yml comments

* typo fix

* fix val err

* fix minimize mode err

* add config test and Hpo result

* support quniform type; update doc; update test config

* update doc

* un-commit changed in yarn.lock

* fix optimize mode bug

* optimize mode

* optimize mode

* reset pylint, gitignore

* revert .gitignore yarn.lock

* realise automatic line change in table cell by adding custom css to Sphinx

* fix typo

* delete toy

* fix config test file ; update docs & readme

* remove changes of another branch

* remove changes of another branch

README.md

@@ -66,6 +66,7 @@ The tool dispatches and runs trial jobs generated by tuning algorithms to search
           <li><a href="examples/tuners/enas_nni/README.md">ENAS</a></li>
           <li><a href="docs/en_US/BuiltinTuner.md#MetisTuner">Metis Tuner</a></li>
           <li><a href="docs/en_US/BuiltinTuner.md#BOHB">BOHB</a></li>
+          <li><a href="docs/en_US/BuiltinTuner.md#GPTuner">GP Tuner</a></li>
         </ul>
           <a href="docs/en_US/BuiltinAssessor.md">Assessor</a>
         <ul>

docs/en_US/BuiltinTuner.md

@@ -400,8 +400,9 @@ tuner:
   builtinTunerName: GPTuner
   classArgs:
     optimize_mode: maximize
-    kappa: 5
-    xi: 0
+    utility: 'ei'
+    kappa: 5.0
+    xi: 0.0
     nu: 2.5
     alpha: 1e-6
     cold_start_num: 10

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

@@ -9,17 +9,18 @@ tuner:
   builtinTunerName: GPTuner
   classArgs:
     optimize_mode: maximize
-assessor:
-  builtinAssessorName: Medianstop
-  classArgs:
-    optimize_mode: maximize
-    kappa: 5
-    xi: 0
+    utility: 'ei'
+    kappa: 5.0
+    xi: 0.0
     nu: 2.5
     alpha: 1e-6
     cold_start_num: 10
     selection_num_warm_up: 100000
     selection_num_starting_points: 250
+assessor:
+  builtinAssessorName: Medianstop
+  classArgs:
+    optimize_mode: maximize
 trial:
   codeDir: ../../../examples/trials/mnist
   command: python3 mnist.py --batch_num 100