DifferentialExtrapolator¶

class DifferentialExtrapolator(degree=1, model=None)[source]¶

Bases: qiskit.chemistry.algorithms.pes_samplers.extrapolator.Extrapolator

An extrapolator based on treating each param set as a point in space, and fitting a Hamiltonian which evolves each point to the next. The user specifies the type of regression model to perform fitting, and a degree which adds derivatives to the values in the point vector; serving as features for the regression model. WARNING: Should only be used with window. Using no window includes points after the point being extrapolated in the data window.

Constructor.

Parameters

model (Union[LinearRegression, Ridge, RidgeCV, SGDRegressor, None]) – Regression model (from sklearn) to be used for fitting variational parameters. Currently supports the following models: LinearRegression(), Ridge(), RidgeCV(), and SGDRegressor().
degree (int) – Specifies (degree -1) derivatives to be added as ‘features’ in regression model.

Methods

`extrapolate`	Extrapolate at specified point of interest given a set of variational parameters.
`factory`	Factory method for constructing extrapolators.