Commits on Sep 28, 2020

1. Set default worker to 1 …

   KFServer uses the number of cores on the machine to set the number of process in its tornado service which can delay the initialization time and increase the memory usage a lot.
   
   A local testing suggests that KFServer loaded 64 processes and used more than 500Mb for a simple SKLearn model. Once I set the worker number to 1, the memory usage was reduced to around 100Mb. 
   ```
   [I 200927 18:26:06 kfserver:88] Registering model: mlguild-iris-svm
   [I 200927 18:26:06 kfserver:77] Listening on port 8080
   [I 200927 18:26:06 kfserver:79] Will fork 0 workers
   [I 200927 18:26:06 process:126] Starting 64 processes
   ```

   

   yuzliu committed Sep 28, 2020
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