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02_​Bike_​Restocking_​Alert_​Deploy

Lean Restocking Alert Signal: Deployment
This workflow deploys the lean restocking system for bycicles in Washington DC stations, as trained in another workflow. Data is a subset of the bike dataset. The model will predict one of three classes:Add bikes; Remove bikes; No Action. 1. Pre-processing as for Training Workflow - calculate bike ratios - build vector of 10 past ratios 2. Read Model and Apply 3. Filter Alarms on Confidence 4. Extract Stations in need of Actions & Display on the WebPortal bike ratio =Adjusted Cumulative Sum / total docks availableDatetime operationsextract onlystations with needed actionintroducing a thresholdon confidencefor each valuefor each time seriesonly Dec 2713:00hours.csvweather + calendar2012-2013Read model trained onoptimal subset ofinput featuresbike countby stationby year, day of year,hour Math Formula Date pre-processing Random ForestPredictor Row Filter Rule Engine Correct Wording Web Pagewith Alarms Build past Extract dayand hour CSV Reader Model Reader Table Reader Joiner This workflow deploys the lean restocking system for bycicles in Washington DC stations, as trained in another workflow. Data is a subset of the bike dataset. The model will predict one of three classes:Add bikes; Remove bikes; No Action. 1. Pre-processing as for Training Workflow - calculate bike ratios - build vector of 10 past ratios 2. Read Model and Apply 3. Filter Alarms on Confidence 4. Extract Stations in need of Actions & Display on the WebPortal bike ratio =Adjusted Cumulative Sum / total docks availableDatetime operationsextract onlystations with needed actionintroducing a thresholdon confidencefor each valuefor each time seriesonly Dec 2713:00hours.csvweather + calendar2012-2013Read model trained onoptimal subset ofinput featuresbike countby stationby year, day of year,hour Math Formula Date pre-processing Random ForestPredictor Row Filter Rule Engine Correct Wording Web Pagewith Alarms Build past Extract dayand hour CSV Reader Model Reader Table Reader Joiner

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Rosaria Silipo
Created at: 2019-04-07
On NodePit since: 2019-07-12
Last update: 2024-04-26
Created with KNIME version: v4.5.0
Tags: random forestrule engineWebPortalJavaScriptbikesWashington DCbicycleIoTInternet of ThingsPracticing Data Science

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