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01 Taxi Demand Prediction on Spark Training

Taxi Demand Prediction on Spark Training
Connect to a big data environment This workflow trains a taxi demand prediction model on Spark Connect to a real Spark Cluster Explore the seasonalities Preprocess the data Train and test the model Evaluate the model lag=24lag=24Spark Lag Column Spark to Table View line plot Split by dateand time Spark NumericScorer Path totraining set Create Local BigData Environment Model Writer Spark Lag Column Spark Random ForestLearner (Regression) Spark Predictor(Regression) Create SparkContext (Livy) Amazon S3 Connector AmazonAuthentication Parquet to Spark Data Exploration Connect to a big data environment This workflow trains a taxi demand prediction model on Spark Connect to a real Spark Cluster Explore the seasonalities Preprocess the data Train and test the model Evaluate the model lag=24lag=24Spark Lag Column Spark to Table View line plot Split by dateand time Spark NumericScorer Path totraining set Create Local BigData Environment Model Writer Spark Lag Column Spark Random ForestLearner (Regression) Spark Predictor(Regression) Create SparkContext (Livy) Amazon S3 Connector AmazonAuthentication Parquet to Spark Data Exploration

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Created by: dewi
Created at: 2019-02-07
On NodePit since: 2021-11-04
Last update: 2024-04-18
Created with KNIME version: v4.4.2
Tags: Demand predictionrandom foresttime series predictionSpark clusterNYC taxi datsetIoTInternet of Things

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