aquakin.FitResult#

class aquakin.FitResult(params, params_named, loss, converged, message, n_iter)[source]#

Bases: object

Result of fit().

Variables:

  • params (jnp.ndarray) – Full parameter vector after optimisation (fixed params unchanged).

  • params_named (dict[str, float]) – Convenience mapping namespaced_name -> value for the free params.

  • loss (float) – Final loss (sum of squared residuals).

  • converged (bool) – Whether scipy’s optimiser reported success.

  • message (str) – Optimiser status message.

  • n_iter (int) – Number of iterations taken.

Parameters:

  • params (Array)

  • params_named (dict[str, float])

  • loss (float)

  • converged (bool)

  • message (str)

  • n_iter (int)

__init__(params, params_named, loss, converged, message, n_iter)#
Parameters:

  • params (Array)

  • params_named (dict[str, float])

  • loss (float)

  • converged (bool)

  • message (str)

  • n_iter (int)

Return type:

None

Methods

__init__(params, params_named, loss, ...)

Attributes

params

params_named

loss

converged

message

n_iter