.. | ||
Lib/site-packages | ||
Scripts | ||
classifiers_test.py | ||
main.py | ||
model_creation.py | ||
model_inference.py | ||
pyvenv.cfg | ||
README.md | ||
starclusters-global-parameters2.dat | ||
trained_model.pkl |
This repository contains several scripts integral to the development, training, and deployment of a machine learning model.
classifiers_test.py
Purpose: This script is used for testing various classifiers.
Functionality: It conducts a series of tests on different classifiers to evaluate their performance and suitability for our model.
model_creation.py
Purpose: Responsible for creating and training the machine learning model.
Functionality: Reads input data, trains the model and saves it to trained_model.pkl.
model_inference.py
Purpose: Utilizes the trained model to make predictions on new data.
Functionality: Loads the model from trained_model.pkl, makes predictions on new data and outputs a binary table indicating collapse predictions.