Micro-utility for staying organized running experiments
Project description
runthis
Tired of your data science experiments becoming a mess? Don't want to pay $20,000 a year for a data science platform? Here's your poor man's version.
Usage
Name your experiment files like this:
my_function?n=5&d=cat&init=[0.2,0.2,0.2].py
Then your experiment file looks like this:
if name=='main': import os kwargs = parse_kwargs(file.split(os.path.sep)[-1]) my_experiment(**kwargs)
This way what you do in the experiment never gets out of sync with the code.
Int, Float
Just call the experiment file
my_function?n=int:5&d=cat&init=[float:0.2,float:0.2,float:0.2].py
instead
Example
See here
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