Scripts

Bundled resources for ml-model-trainer skill

train_model.py: Automates the model training process, including data loading, preprocessing, model selection, training, and evaluation.
evaluate_model.py: Evaluates the trained model using various metrics and generates a report.
preprocess_data.py: Preprocesses the input data, including handling missing values, scaling, and feature engineering.
save_model.py: Saves the trained model artifact to a specified location.
load_model.py: Loads a previously trained model artifact from a specified location.