ml-utils

Current features:

Model evaluation

• Accuracy
• Sensitivity/Recall
• Precision
• Specificity

Data Preprocessing

• Normalize Data
• Split Data
• Generate batches
• One-hot encode

Model tuning/optimization

• Cross Validation
• Average error across multiple training workflows
• get_train_test_error
• Get best hyperparameters: specifity a list of classifiers and the hyperparameters, and this method does a grid search over them to give you back the optimal setting of hyperparameters that were specified.