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What is Operator Inference?
Package Installation
What’s New
Literature
References

Getting Started

opinf.operators

How to Contribute

Source Code Guide

Testing Source Code

Writing Documentation

Index of Notation

Site Navigation

What is Operator Inference?
Package Installation
What’s New
Literature
References

Getting Started

opinf.operators

How to Contribute

Source Code Guide

Testing Source Code

Writing Documentation

Index of Notation

Ctrl+K

Operator Inference

What is Operator Inference?
Package Installation
What’s New
Literature
References

Tutorials

Getting Started
Heat Equation

API Reference

opinf
opinf.lift
- QuadraticLifter
  - lift()
  - lift_ddts()
  - unlift()
  - verify()
- PolynomialLifter
  - lift()
  - lift_ddts()
  - unlift()
  - verify()
- LifterTemplate
  - lift()
  - lift_ddts()
  - unlift()
  - verify()
opinf.pre
opinf.basis
- pod_basis()
- cumulative_energy()
- residual_energy()
- svdval_decay()
- LinearBasis
  - compress()
  - decompress()
  - fit()
  - load()
  - plot1D()
  - project()
  - projection_error()
  - save()
  - verify()
- PODBasis
- BasisMulti
  - compress()
  - decompress()
  - fit()
  - get_var()
  - load()
  - project()
  - projection_error()
  - save()
  - split()
  - verify()
- BasisTemplate
  - compress()
  - decompress()
  - fit()
  - load()
  - project()
  - projection_error()
  - save()
  - verify()
opinf.ddt
opinf.operators
opinf.models
- ContinuousModel
  - copy()
  - fit()
  - galerkin()
  - jacobian()
  - load()
  - predict()
  - rhs()
  - save()
- DiscreteModel
  - copy()
  - fit()
  - galerkin()
  - jacobian()
  - load()
  - predict()
  - rhs()
  - save()
  - stack_trajectories()
- InterpolatedContinuousModel
  - copy()
  - evaluate()
  - fit()
  - galerkin()
  - jacobian()
  - load()
  - predict()
  - rhs()
  - save()
  - set_interpolator()
- InterpolatedDiscreteModel
  - copy()
  - evaluate()
  - fit()
  - galerkin()
  - jacobian()
  - load()
  - predict()
  - rhs()
  - save()
  - set_interpolator()
opinf.lstsq
- lstsq_size()
- PlainSolver
  - cond()
  - fit()
  - misfit()
  - predict()
- L2Solver
  - cond()
  - fit()
  - misfit()
  - predict()
  - regcond()
  - residual()
- L2SolverDecoupled
  - cond()
  - fit()
  - misfit()
  - predict()
  - regcond()
  - residual()
- TikhonovSolver
  - cond()
  - fit()
  - misfit()
  - predict()
  - regcond()
  - residual()
- TikhonovSolverDecoupled
  - cond()
  - fit()
  - misfit()
  - predict()
  - regcond()
  - residual()
- TotalLeastSquaresSolver
  - cond()
  - fit()
  - misfit()
  - predict()
opinf.post
opinf.utils
- hdf5_loadhandle
- hdf5_savehandle

Developer Guide

How to Contribute
Source Code Guide
- _NonparametricOperator
  - apply()
  - copy()
  - datablock()
  - galerkin()
  - jacobian()
  - load()
  - operator_dimension()
  - save()
  - set_entries()
- _ParametricOperator
  - apply()
  - copy()
  - datablock()
  - evaluate()
  - galerkin()
  - jacobian()
  - load()
  - operator_dimension()
  - save()
- _InterpolatedOperator
- _Model
  - copy()
  - galerkin()
- _NonparametricModel
  - copy()
  - fit()
  - galerkin()
  - jacobian()
  - load()
  - predict()
  - rhs()
  - save()
- _ParametricModel
  - copy()
  - evaluate()
  - fit()
  - galerkin()
  - jacobian()
  - predict()
  - rhs()
- _InterpolatedModel
  - copy()
  - evaluate()
  - fit()
  - galerkin()
  - jacobian()
  - load()
  - predict()
  - rhs()
  - save()
  - set_interpolator()
- _BaseSolver
  - cond()
  - fit()
  - misfit()
  - predict()
- _BaseTikhonovSolver
  - cond()
  - fit()
  - misfit()
  - predict()
  - regcond()
  - regularizer()
  - residual()
Testing Source Code
Writing Documentation
Index of Notation

repository
open issue

.rst

fit()

fit()#

TransformerTemplate.fit(states)[source]#

Learn (but do not apply) the transformation.

Parameters

states(n, k) ndarray: Matrix of k n-dimensional snapshots.

Returns

self

previous

TransformerTemplate

next

fit_transform()

By Willcox Research Group, Oden Institute for Computational Engineering and Sciences

© Copyright 2022.

Last updated on None.