Welcome to miles-guess’s documentation!# Contents: Install MILES GUESS Keras 3 Installation Keras in MILES-GUESS Regression Models Classification Models 3. Ensembling modes for the deterministic model (1a) 4. Ensembling modes for the Gaussian parametric model (1b) Configuration files ECHO hyperparameter optimization Pytorch in MILES-GUESS Regression usage Classifier usage Model and training configuration yaml Trainer Configuration Model Configuration mlguess package Subpackages Submodules mlguess.classifier_uq module mlguess.pbs module mlguess.pit module mlguess.plotting module mlguess.preprocessing module mlguess.regression_metrics module mlguess.regression_uq module mlguess.splitting module Module contents MILES-GUESS Classification Example Notebook Objective MILES-GUESS Regression Example Notebook Objective Quick Intro to Surface Layer (SL) Key Points Parameters of interest Train-Valid-Test Splits Data Scaling Train the model Predict with the model Create a Monte Carlo ensemble Indices and tables# Index Module Index Search Page
