Complete reference documentation for all tangent/ds modules and functions.
Ordination (PCA, LDA, RDA) and clustering techniques.
Statistical analysis functions and models including GLM, t-tests, and ANOVA.
Supervised learning algorithms, validation, and preprocessing utilities.
Visualization functions for Observable Plot integration.
Most tangent/ds classes follow this pattern:
import * as ds from '@tangent/ds';
const model = new ds.ml.KNNClassifier({ k: 5 });
model.fit({ data: myData, X: features, y: 'target' });
const predictions = model.predict({ data: newData, X: features });