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Training_​workflow

Taxi demand prediction training workflow
Training 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 hourbased on data from past hours. partitioninto training and test settrain the modelpredictthe test setload the Parquetdataset to Spark View line plot Split by dateand time Spark NumericScorer Find lag Spark Random ForestsLearner (MLlib) Spark Predictor(MLlib) Spark Lag Column Path totraining set Create Local BigData Environment Parquet to Spark Model Writer Find lag Spark Lag Column Training 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 hourbased on data from past hours. partitioninto training and test settrain the modelpredictthe test setload the Parquetdataset to Spark View line plot Split by dateand time Spark NumericScorer Find lag Spark Random ForestsLearner (MLlib) Spark Predictor(MLlib) Spark Lag Column Path totraining set Create Local BigData Environment Parquet to Spark Model Writer Find lag Spark Lag Column

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