GLE_analysisEM.GLE_BasisTransform

class GLE_analysisEM.GLE_BasisTransform(basis_type='linear', transformer=None, **kwargs)[source]

A transformer that give values of the basis along the trajectories.

Parameters
dim_xint, default=1

The number of visible dimensions.

basis_typestr, default= “linear”

Give the type of basis projection Must be one of:

"linear" : Linear basis.
"polynomial" : Polynomial basis.
"bins" : Bins basis.
"bsplines" : BSplines basis.
"free_energy" : Use histogram estimation of the free energy as unique basis function.
"free_energy_kde" : Use Kernel Density estimation of the free energy as unique basis function.
"custom": custom basis, you should pass a Transformer class
__init__(basis_type='linear', transformer=None, **kwargs)[source]

Examples using GLE_analysisEM.GLE_BasisTransform

Running GLE Estimator

Running GLE Estimator

Running GLE Estimator
Generating GLE Samples

Generating GLE Samples

Generating GLE Samples
Likelihood Evolution

Likelihood Evolution

Likelihood Evolution
M step

M step

M step
E step, Kalman filter

E step, Kalman filter

E step, Kalman filter
Parameters estimation from Markovian

Parameters estimation from Markovian

Parameters estimation from Markovian
Parameters estimation

Parameters estimation

Parameters estimation