Examples#
Examples of several functionalities of the package.
Functional Linear Regression with multivariate covariates.
Functional Linear Regression with multivariate covariates.
Functional Principal Component Analysis Regression.
Functional Principal Component Analysis Regression.
Meteorological data: data visualization, clustering, and functional PCA
Meteorological data: data visualization, clustering, and functional PCA
Mixed effects model for irregular data: robustness of the conversion by decimation
Mixed effects model for irregular data: robustness of the conversion by decimation
SDE simulation: creating synthetic datasets using SDEs
SDE simulation: creating synthetic datasets using SDEs
Spectrometric data: derivatives, regression, and variable selection
Spectrometric data: derivatives, regression, and variable selection
Voice signals: smoothing, registration, and classification
Voice signals: smoothing, registration, and classification
Expand scikit-fda#
Examples of how to expand the functionality of scikit-fda with custom behaviors.
Creating a new interpolation or extrapolation strategy
Creating a new interpolation or extrapolation strategy