D-Wave results are being used as weight coefficients and are all are 1's about qboost HOT 5 CLOSED

Hello @stephenlb, sorry for the delay. I would like to talk to you about your work, here, and what you're looking for. My name is Joel Gottlieb, and you can please reach me at [email protected].

from qboost.

Coming to a possible conclusion. The DWaveSampler can be leveraged to discover the most meaningful feature/weight combinations to be used in a classical SVM. While the qboost code example didn't make this clear, nor did it achieve meaningful results after repeated runs, the hybrid quantum and classical ML model allows optimization of a classical model by way of the discovering the most meaningful feature/weight combinations.

from qboost.

Hi Joel, thank you. Email sent.

from qboost.

Hello, I have the same question. Is there any updates or explanations can be added? Thanks

from qboost.

Hi! I've eventually figured it out. The dwave code examples only sort of make sense. They didn't match what I needed. However I was able to complete my application. Total success. D-Wave works as advertised.

from qboost.