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

Classification API

K nearest neighbors classification

K nearest neighbors classification

Random forest classification

Random forest classification

Clustering

How to create a clustering model.

API

API

Gaussian Mixtures

Gaussian Mixtures

K-means

K-means

Dimension reduction

How to reduce the dimension of a high-dimensional variable.

KL-SVD on Burgers equation

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

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

API

Advanced mixture of experts

Advanced mixture of experts

GP regression

GP regression

Linear regression

Linear regression

Mixture of experts

Mixture of experts

PCE regression

PCE regression

Polynomial regression

Polynomial regression

RBF regression

RBF regression

Random forest regression

Random forest regression

Save and Load

Save and Load

Data transformation

How to transform the data before training.

Scaler example

Scaler example

Transformer pipeline example

Transformer pipeline example