qiskit_noise_learning.analysis.NNLSSolve
class qiskit_noise_learning.analysis.NNLSSolve(**nnls_opts)
Bases: ModelSolve
Solves for the ModelData using SciPy’s non-negative least squares solver.
See SciPy’s documentation for details on the method. See ModelSolve for more details about the general responsibility of a model solver in this library.
Parameters
**nnls_opts – The options passed on to the SciPy solver.
__init__
__init__(**nnls_opts)
Methods
Column 1 | Column 2 |
|---|---|
__init__(**nnls_opts) | |
run(fit) | Run this stage, returning a new Fit with the output level populated. |
Attributes
Column 1 | Column 2 |
|---|---|
input_level | The data level this stage reads. |
output_level | The data level this stage writes. |
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