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lpspline

Quickstart
Demo
API reference

GitHub

Quickstart
Demo
API reference

GitHub

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lpspline.spline
lpspline.constraints
lpspline.penalties
- lpspline.penalties.base
  - lpspline.penalties.base.Penalty
- lpspline.penalties.smooth
  - lpspline.penalties.smooth.Lasso
  - lpspline.penalties.smooth.Ridge
lpspline.optimizer
- lpspline.optimizer.regressor
  - lpspline.optimizer.regressor.LpRegressor
- lpspline.optimizer.summary
  - lpspline.optimizer.summary.print_summary
lpspline.viz
- lpspline.viz.plot_diagnostic
- lpspline.viz.plot_interactive
lpspline.datasets
- lpspline.datasets.load_by_dataset
- lpspline.datasets.load_demo_dataset

API reference
lpspline.optimizer
lpspline.optimizer.regressor

lpspline.optimizer.regressor#

Classes

LpRegressor(splines)

Algorithmic LpRegressor class fitting generalized additive spline models using convex optimization.

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