D-Wave Introduces a New Hybrid Solver Plug-in to Provide Feature Selection for Machine Learning Applications
The new plug-in for D-Wave’s Ocean™ SDK provides functionality to perform feature selection for machine learning (ML) workflows. It integrates with scikit-learn, a Python library that features various classification, regression and clustering algorithms. Feature selection is a process of determining the most important features of a model for use in model training and overall performance. AI applications are providing increasing […]
The post D-Wave Introduces a New Hybrid Solver Plug-in to Provide Feature Selection for Machine Learning Applications appeared first on Quantum Computing Report.
Click to rate this post!
[Total: 0 Average: 0]
You have already voted for this article
(Visited 19 times, 1 visits today)