inversion_ideas.base.Scaled

class inversion_ideas.base.Scaled(multiplier, function)

Scaled objective function.

Attributes

n_params	Number of model parameters.
name	Name of the objective function.

Methods

__call__(model)	Evaluate the objective function for a given model.
gradient(model)	Evaluate the gradient of the objective function for a given model.
hessian(model)	Evaluate the hessian of the objective function for a given model.
hessian_diagonal(model)	Get the main diagonal of the Hessian.
info()	Get information about the objective function.
set_name(value)	Set name for the objective function.

Attributes

Scaled.n_params

Number of model parameters.

Scaled.name

Name of the objective function.

Methods

Methods documentation

Scaled.__call__(model)

Evaluate the objective function for a given model.

Parameters:

model(n_params) array

Array with model values.

Returns:

float

Value of the objective function for the given model.

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Scaled.gradient(model)

Evaluate the gradient of the objective function for a given model.

Parameters:

model(n_params) array

Array with model values.

Returns:

(n_params,) array

Gradient vector for the given model.

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Scaled.hessian(model)

Evaluate the hessian of the objective function for a given model.

Parameters:

model(n_params) array

Array with model values.

Returns:

(n_params, n_params) array or LinearOperator

2D array or LinearOperator that represents the Hessian matrix of the objective funciton, or an approximated version of it.

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Scaled.hessian_diagonal(model)

Get the main diagonal of the Hessian.

Parameters:

model(n_params) array

Array with model values.

Returns:

(n_params,) array

Array containing the diagonal of the Hessian.

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Scaled.info()

Get information about the objective function.

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Scaled.set_name(value)

Set name for the objective function.

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