Spreaduler

Computational Experiment Scheduling System (for Machine Learning) using Google Spreadsheets as a dashboard.

How to use

Using this tutorial create API credentials.
Create google spreadsheet with columns that correspond to arguments in your argparse parser
Add special columns: 'time_started', 'last_update', 'progress_bar', 'server', 'status', 'comment'
Add columns with performance characteristics of your script (e.g. 'test_accuracy')
Write your worker script by Inheriting from ParamsSheet class, add credentials created on step 1 and give id of google spreadsheet that you created in step 2.
Make sure your 'train' function takes parsed arguments as input (output of parse_args method)
Add experiment parameters to a spreadsheet and watch worker do its thing.

You can run as many workers in parallel as you like (the only limit is Google API, 500 requests / 100 seconds)
Anything you can put as argparse optional argument can be a parameter in a spreadsheet.
If your program raises an exception status of the experiment will be changed to 'error' and traceback will be copied to 'comment' column.
You can specify environment variable "SERVERNAME" to override servers hostname.
If you specify 'server' in spreadsheet only workers on that server will be able to take the task.