Potosnail

This is a collection of helper functions that can accelerate Machine Learning and allow me to move much faster

author: Spencer Holley

contact: aacjpw@gmail.com

Installation and import

the latest version can be installed via pip install Potosnail==0.2.4

Tutorials and Case Studies

Check out the notebooks in the tutorials folder to see some implementation. If you want to see more real-world use cases for potosnail, chech out the Case_Studies folder

Why do these model building functions take in 10 arguments?

If you use DeepTabularRegression, DeepTabularClassification, RNN, or CNN from DeepLearning you'll notice that these funtions require 10 arguments, this is so that these functions work well with the CollectPerformance function, this is because I had to code a gridsearch from scratch and there needed to be a fixed number of for loops for a fixed number of parameters. if you don't like this you can use FastNN (for the DeepTabulars), FastRNN, and FastCNN instead, you can run a gridsearch on them with DeepLearning().TestDl().

Future Works

I plan on going back in the code and making sure each function only does one thing, this will make it more usable.