Welcome to hundred_hammers’s documentation!#
“At least one of them is bound to do the trick.”
Hundred Hammers is a Python package that helps you batch-test ML models in a dataset. It can be used out-of-the-box to run most popular ML models and metrics, or it can be easily extended to include your own.
Supports both classification and regression.
Already comes strapped with most sci-kit learn models.
Already comes with several plots to visualize the results.
Easy to integrate with parameter tuning from GridSearch CV.
Already gives you the average metrics from training, test, validation (train) and validation (test) sets.
Allows you to define how many seeds to consider, so you can increase the significance of your results.
Produces a Pandas DataFrame with the results (which can be exported to CSV and analyzed elsewhere).
Indices and tables#
Contents: