API Examples

Exploratory Data Analysis (EDA)

Using Pipelines

Imputing Missing Values and Those Below LOD

Dealing with Class Imbalance

Exploring with PCA

Regression with PLS

Classification with PLS-DA

Authentication with DD-SIMCA

Authentication with EllipticManifold (including UNEQ)

Classification Under Open Set Conditions

Selecting the Most Important Features

Comparing the Performance of Pipelines

Inspecting and Explaining Models

Classifying 1D Spectra with Convolutional Neural Networks (CNNs)

Should I Collect More Data?

Saving and Sharing Models