Skip to content

Rename config.json to parameters.json #223

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
jotaylo merged 1 commit into from
Mar 6, 2020
Merged

Rename config.json to parameters.json #223

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
0 diabetes_regression/config.json → diabetes_regression/parameters.json
View file
Open in desktop
File renamed without changes.
4 changes: 2 additions & 2 deletions diabetes_regression/training/train_aml.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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"]
Expand Down
2 changes: 1 addition & 1 deletion docs/getting_started.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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

Expand Down