Machine learning¶
Calibration and selection¶
How to tune a machine learning model and select the best one.
Calibration of a polynomial regression
Calibration of a polynomial regression
Machine learning algorithm selection example
Machine learning algorithm selection example
Classification¶
How to create a classification model.
Classification API
K nearest neighbors classification
K nearest neighbors classification
Random forest classification
Clustering¶
How to create a clustering model.
Dimension reduction¶
How to reduce the dimension of a high-dimensional variable.
KL-SVD on Burgers equation
Mixture of experts with PCA on Burgers dataset
Mixture of experts with PCA on Burgers dataset
PCA on Burgers equation
Quality¶
How to assess the quality of a machine learning model.
MSE example - test-train split
MSE example - test-train split
Quality measure for surrogate model comparison
Quality measure for surrogate model comparison
Regression¶
How to create a regression model.
API
Advanced mixture of experts
GP regression
Linear regression
Mixture of experts
PCE regression
Polynomial regression
RBF regression
Random forest regression
Save and Load
Data transformation¶
How to transform the data before training.
Scaler example
Transformer pipeline example