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Deployment_​workflow

Taxi demand prediction deployment
Deployment Workflow Taxi Demand PredictionBased on the NYC taxi dataset this workflow uses a Random Forest to train a simple time series prediction model to predict taxi demand in the next hour based on datafrom past hours. preparethe datasetupdate timeto the next hourfor predictionview resultload the Parquetdataset to Sparkread the model Spark Predictor(MLlib) Preprocessing Update time Path to test set Table view Create Local BigData Environment Parquet to Spark Model Reader Spark Lag Column Deployment Workflow Taxi Demand PredictionBased on the NYC taxi dataset this workflow uses a Random Forest to train a simple time series prediction model to predict taxi demand in the next hour based on datafrom past hours. preparethe datasetupdate timeto the next hourfor predictionview resultload the Parquetdataset to Sparkread the modelSpark Predictor(MLlib) Preprocessing Update time Path to test set Table view Create Local BigData Environment Parquet to Spark Model Reader Spark Lag Column

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