A Spark-Based Approach for High-Efficiency Embedded Feature Selection

Embedded feature selection is an important branch in the field of feature engineering. However, due to the excessive computing time brought by the iterative mechanism, variational inference-based embedded feature selection cannot satisfy the real-time demand for practical application. In such a case, a Spark-based embedded feature selection approach is proposed in this study. Automatic relevance determination kernel-based variational relevance...