Rename config.json to parameters.json

diabetes_regression/training/train_aml.py

@@ -110,8 +110,8 @@ def main():
 
     print("Getting training parameters")
 
-    # Load the training parameters from the config file
-    with open("config.json") as f:
+    # Load the training parameters from the parameters file
+    with open("parameters.json") as f:
         pars = json.load(f)
     try:
         train_args = pars["training"]

docs/getting_started.md

@@ -269,7 +269,7 @@ There are more variables used in the project. They're defined in two places: one
 
 For using Azure Pipelines, all other variables are stored in the file `.pipelines/diabetes_regression-variables-template.yml`. Using the default values as a starting point, adjust the variables to suit your requirements.
 
-In that folder, you'll also find the `config.json` file that we recommend using to provide parameters for training, evaluation, and scoring scripts. The sample parameter that `diabetes_regression` uses is the ridge regression [*alpha* hyperparameter](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html). We don't provide any serializers for this config file.
+In that folder, you'll also find the `parameters.json` file that we recommend using to provide parameters for training, evaluation, and scoring scripts. The sample parameter that `diabetes_regression` uses is the ridge regression [*alpha* hyperparameter](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html). We don't provide any serializers for this config file.
 
 #### Local configuration