Python fitter package for multiple computational back-ends
TensorWaves is a fitter package that optimizes mathematical models to data samples. The models can be any symbolic mathematical expression that is then converted to any computational backend. In addition, TensorWaves provides functionality to generate toy Monte Carlo data samples. The package is developed in parallel with AmpForm, which implements physics models, but its 'lambdifying' mechanisms can in principle be used independently.
All documentation can be found on tensorwaves.rtfd.io.
For an overview of upcoming releases and planned functionality, see here.
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