Concurrently Train Multiple Time Series Models Over Spark with XGBoost
Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data —  1. Intro Suppose you have a large dataset consisting of your customers’ hourly transactions, and you were tasked with helping your company forecast and identify anomalies in their transaction patterns. “If the transaction rate of some customers is suddenly declining then we want to know about it”, the product manager explains, “the…
Concurrently Train Multiple Time Series Models Over Spark with XGBoost Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data —  1. Intro Suppose you have a large dataset consisting of your customers’ hourly transactions, and you were tasked with helping your company forecast and identify anomalies in their transaction patterns. “If the transaction rate of some customers is suddenly declining then we want to know about it”, the product manager explains, “the… machine-learning
Concurrently Train Multiple Time Series Models Spark XGBoost Take advantage distributive power Apache Spark concurrently train thousand autoregressive timeseries model big data — 1 Intro Suppose large dataset consisting customers’ hourly transaction tasked helping company forecast identify anomaly transaction pattern “If transaction rate customer suddenly declining want know it” product manager explains “the… machinelearning