pylops.optimization.callback.MetricsCallback¶

class pylops.optimization.callback.MetricsCallback(xtrue, Op=None, which=('mae', 'mse', 'snr', 'psnr'))[source]¶

Metrics callback

This callback can be used to store different metrics from the pylops.utils.metrics module during iterations.

Parameters:

xtruenumpy.ndarray: True model vector
Oppylops.LinearOperator, optional: Operator to apply to the solution prior to comparing it with xtrue
whichtuple, optional: List of metrics to compute (currently available: “mae”, “mse”, “snr”, and “psnr”)

Methods

`__init__`(xtrue[, Op, which])
`on_run_begin`(solver, x)	Callback before entire solver run
`on_run_end`(solver, x)	Callback after entire solver run
`on_setup_begin`(solver, x0)	Callback before setup
`on_setup_end`(solver, x)	Callback after setup
`on_step_begin`(solver, x)	Callback before step of solver
`on_step_end`(solver, x)	Callback after step of solver

Examples using `pylops.optimization.callback.MetricsCallback`¶