updated gitignore to not track temporary files

.gitignore

@@ -2,3 +2,4 @@
 __pycache__/
 models/
 *.pyc
+*~

.gitignore~

-.idea/
-__pycache__/
-models/

Readme.md~

-Project to integrate machine learning based essay scoring with xserver. Aspell must be installed and added to path to run.  numpy, scipy, sklearn, and nltk also need to be installed.
-
-Runnable files:
-
-1. create_test_models.py 
-
-	Generates test models when used like: python create_test_models.py train_file prompt_file model_path.  Use python create_test_models.py train.tsv prompt.txt models/essay_set_1.p to generate a model using sample data.
-
-2. test_server_code/pyxserver_wsgi.py
-
-	Starts a server instance that can be sent answers to score.  Calls grade.py to score responses.  Run server with gunicorn -w 4 -b 127.0.0.1:3031 pyxserver_wsgi:application .  This can also be run 
-
-3. tests/test.py
-
-	Submits test data found in directories within the tests folder to the xserver and displays results.  See tests/simple_essay for an example of how to format files.  You need payload.json, wrong.txt, and answer.txt to make a test.

temp.txt~

-hello

test_server_code/settings.py~

-# Not django (for now), but use the same settings format anyway
-
-import json
-import os
-from path import path
-import sys
-
-ROOT_PATH = path(__file__).dirname()
-REPO_PATH = ROOT_PATH
-ENV_ROOT = REPO_PATH.dirname()
-
-# DEFAULTS
-
-DEBUG = False
-
-# Must end in '/'
-RUN_URL = 'http://127.0.0.1:3031/'  # Victor's VM ...
-RUN_URL = 'http://sandbox-runserver-001.m.edx.org:8080/'
-RUN_URL = 'http://sandbox-runserver.elb.edx.org:80/'
-
-GRADER_ROOT = os.path.join(os.path.dirname(__file__),'..')
-
-# AWS
-
-if os.path.isfile(ENV_ROOT / "env.json"):
-    print "Opening env.json file"
-    with open(ENV_ROOT / "env.json") as env_file:
-        ENV_TOKENS = json.load(env_file)
-
-    RUN_URL = ENV_TOKENS['RUN_URL']
-
-    LOG_DIR = ENV_TOKENS['LOG_DIR']
-
-    # Should be absolute path to 6.00 grader dir.
-    # NOTE: This means we only get one version of 6.00 graders available--has to
-    # be the same for internal and external class.  Not critical -- can always
-    # use different grader file if want different problems.
-    GRADER_ROOT = ENV_TOKENS.get('GRADER_ROOT')

tests/essays_with_symbols/answer.txt~

-In order to replicate this experiment, I would need to know additional information such as the four different samples that they used (because I could have choosen metal, carbboard and many other sample materials that they didn't use and would get different results. Also I would also need to know the amount of vinegar to pour because this can caute a major change. Lastly, they might want to tell where to sit the samples while they dry for 30 minutes because if they are sitting in room temp. or by a light source makes a difference too.

tests/essays_with_symbols/wrong.txt~

-this is an incorrect response

tests/simple_essay/payload.json~

-{"grader":"/home/vik/mitx_all/vik_sandbox/machine_grader/grade.py"}