Correct typo (#402)

examples/trials/README.md

@@ -86,7 +86,7 @@ if __name__ == '__main__':
 
 **2)Get configure from Tuner**
 
-User import ```nni``` and use ```nni.get_next_parameter()``` to recive configure. Please noted **10**, **24** and **25** line in the following code.
+User import ```nni``` and use ```nni.get_next_parameter()``` to receive configure. Please noted **10**, **24** and **25** line in the following code.
 
 
 ```python
@@ -165,7 +165,7 @@ def train(args, params):
 ...    
 ```
 
-Here is the complete exampe:
+Here is the complete example:
 
 
 ```python

examples/trials/auto-gbdt/main.py

@@ -17,7 +17,7 @@
 # DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 '''
-This project is for automaticlly tuning parameters for GBDT.
+This project is for automatically tuning parameters for GBDT.
 '''
 import logging
 

examples/trials/ga_squad/README.md

@@ -244,8 +244,8 @@ Here is an example of the model configuration, which is passed from the tuner to
 
 Every model configuration will has a "layers" section, which is a JSON list of layer definitions. The definition of each layer is also a JSON object, where:
 
- * `type` is the type of the layer. 0, 1, 2, 3, 4 corresponde to attention, self-attention, RNN, input and output layer respectively.
- * `size` is the length of the output. "x", "y" corresponde to document length / question length, respectively.
+ * `type` is the type of the layer. 0, 1, 2, 3, 4 correspond to attention, self-attention, RNN, input and output layer respectively.
+ * `size` is the length of the output. "x", "y" correspond to document length / question length, respectively.
  * `input_size` is the number of inputs the layer has.
  * `input` is the indices of layers taken as input of this layer.
  * `output` is the indices of layers use this layer's output as their input.

examples/trials/ga_squad/trial.py

@@ -46,7 +46,7 @@ except:
 
 def get_config():
     '''
-    Get config from arument parser.
+    Get config from argument parser.
     '''
     parser = argparse.ArgumentParser(
         description='This program is using genetic algorithm to search architecture for SQuAD.')
@@ -86,7 +86,7 @@ def get_id(word_dict, word):
 
 def load_embedding(path):
     '''
-    return embedding for a specif file by given file path.
+    return embedding for a specific file by given file path.
     '''
     EMBEDDING_DIM = 300
     embedding_dict = {}

examples/trials/mnist-annotation/mnist.py

@@ -14,7 +14,7 @@ logger = logging.getLogger('mnist_AutoML')
 
 class MnistNetwork(object):
     '''
-    MnistNetwork is for initlizing and building basic network for mnist.
+    MnistNetwork is for initializing and building basic network for mnist.
     '''
     def __init__(self,
                  channel_1_num,
@@ -211,7 +211,7 @@ def main(params):
         logger.debug('Send final result done.')
 
 
-def generate_defualt_params():
+def generate_default_params():
     '''
     Generate default parameters for mnist network.
     '''
@@ -232,7 +232,7 @@ def generate_defualt_params():
 if __name__ == '__main__':
     '''@nni.get_next_parameter()'''
     try:
-        main(generate_defualt_params())
+        main(generate_default_params())
     except Exception as exception:
         logger.exception(exception)
         raise

examples/trials/mnist/mnist.py

@@ -16,7 +16,7 @@ logger = logging.getLogger('mnist_AutoML')
 
 class MnistNetwork(object):
     '''
-    MnistNetwork is for initlizing and building basic network for mnist.
+    MnistNetwork is for initializing and building basic network for mnist.
     '''
     def __init__(self,
                  channel_1_num,