표·그림DB
Fig. 4.2. Recommendation pipeline overview, consisting of three main steps. First, AWS observation stations are clustered based on multi-year rainfall data using PCA dimensionality reduction and K-means. Second, the optimal AlphaRain models are recommended seasonally or monthly for each cluster using Bandit or Online algorithms. Finally, the algorithm updates its parameters over time to optimize the model selection process dynamically.
표·그림명
Fig. 4.2. Recommendation pipeline overview, consisting of three main steps. First, AWS observation stations are clustered based on multi-year rainfall data using PCA dimensionality reduction and K-means. Second, the optimal AlphaRain models are recommended seasonally or monthly for each cluster using Bandit or Online algorithms. Finally, the algorithm updates its parameters over time to optimize the model selection process dynamically.