update doc for smac tuner (#140)

examples/trials/auto-gbdt/config.yml

@@ -9,7 +9,8 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -17,4 +18,4 @@ tuner:
 trial:
   command: python3 main.py
   codeDir: .
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/mnist-annotation/config.yml

@@ -8,7 +8,8 @@ trainingServicePlatform: local
 #choice: true, false
 useAnnotation: true
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -16,4 +17,4 @@ tuner:
 trial:
   command: python3 mnist.py
   codeDir: .
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/mnist-batch-tune-keras/config.yml

@@ -10,6 +10,7 @@ searchSpacePath: search_space.json
 useAnnotation: false
 tuner:
   #choice: TPE, Random, Anneal, Evolution, BatchTuner
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: BatchTuner
   classArgs:
     #choice: maximize, minimize

examples/trials/mnist-keras/config.yml

@@ -9,7 +9,8 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -17,4 +18,4 @@ tuner:
 trial:
   command: python3 mnist-keras.py
   codeDir: .
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/mnist-smartparam/config.yml

@@ -8,7 +8,8 @@ trainingServicePlatform: local
 #choice: true, false
 useAnnotation: true
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -16,4 +17,4 @@ tuner:
 trial:
   command: python3 mnist.py
   codeDir: .
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/mnist/config.yml

@@ -9,7 +9,8 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -17,4 +18,4 @@ tuner:
 trial:
   command: python3 mnist.py
   codeDir: .
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/mnist/config_assessor.yml

@@ -9,7 +9,8 @@ searchSpacePath: ~/nni/examples/trials/mnist/search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -23,4 +24,4 @@ assessor:
 trial:
   command: python3 mnist.py
   codeDir: ~/nni/examples/trials/mnist
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/pytorch_cifar10/config.yml

@@ -9,7 +9,8 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize

src/sdk/pynni/nni/README.md

 # How to use Tuner that NNI supports?
 
-For now, NNI could support tuner algorithms as following:
+For now, NNI has supported the following tuner algorithms. Note that NNI installation only installs a subset of those algorithms, other algorithms should be installed through `nnictl package install` before you use them. For example, for SMAC the installation command is `nnictl package install --name=SMAC`.
 
  - TPE
  - Random Search
  - Anneal
  - Naive Evolution
- - SMAC
+ - SMAC (to install through `nnictl`)
  - ENAS (ongoing)
  - Batch (ongoing)
 
@@ -75,4 +75,4 @@ There are two filed you need to set:
   [2]: http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf
   [3]: https://arxiv.org/pdf/1703.01041.pdf
   [4]: https://www.cs.ubc.ca/~hutter/papers/10-TR-SMAC.pdf
-  [5]: https://github.com/automl/SMAC3
\ No newline at end of file
+  [5]: https://github.com/automl/SMAC3