advice on binary classification
Hello,
We have a dataset with 285 features (all real numbers) for classification of two classes. Would like to try using dwave to implement a classifier and compare with some classical classifiers.
Not sure how to formula it to use dwave. Any pointer is really appreciated.
Thanks and regards
Raymond
Comments
Hi Raymond,
I hope you find the following resources helpful.
Two papers on training classifiers with the Quantum Adiabatic Algorithm
Training a Binary Classifier with the Quantum Adiabatic Algorithm - https://arxiv.org/abs/0811.0416
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm - https://arxiv.org/abs/0912.0779
The Problem-Solving Handbook - https://docs.dwavesys.com/docs/latest/doc_handbook.html provides advanced guidance on using D-Wave solvers, in particular QPU solvers. It lists, explains, and demonstrates techniques of problem formulation, minor-embedding, and configuring QPU parameters to optimize performance.
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