Feature engineering - Machine Learning Platform for AI
Linear model feature importance
Filter-based feature selection
One-hot encodingOne-hot encoding converts a feature ...
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Scenarios - ApsaraDB for Redis
access may overload the backend database. ApsaraDB for Redis provides a hot standby highly available architecture that guarantees services are often reliant on Redis to store user data and relationship information.
Dual-machine hot standby guarantees ...
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on your business.
ApsaraDB for RDS supports full-data hot migration. This allows you to smoothly migrate your business to the provides persistent memory database services. Based on its high-reliability, dual-machine hot standby architecture, and seamlessly ...
Machine learning - Machine Learning Platform for AI
type features require one-hot coding (to filter out infrequent features) before they can be used for training. Continuous numerical features.The GBDT algorithm is suitable for training with continuous features. Continuous type features require one-hot coding ...