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InviteWorkflow Entry: 2. Getting Started: Retrieve and Apply a Model to a Data Set
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Version created on:
17/01/11 @ 08:50:27
by:
Sebastian Loh
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Last edited on: 19/01/11 @ 09:46:40 by: Sebastian Loh
Title: 2. Getting Started: Retrieve and Apply a Model to a Data Set
Type: RapidMiner
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Description
This getting started process demonstrates how to load (retrieve) a model from the repository and apply it to a data set. The result is a data set (at the lab output for "labeled data" ) with has a new "prediction" attribute which indicated the prediction for each example (ie. row/record).
You will need to adjust the path of the retrieve data operator to the actual location where the model is stored by a previews execution of the "1. Getting Started: Learn and Store a Model" process (or execute the disabled operator at the top of the process).
Tags: Rapidminer, retrieve data, repository, model , apply, load data
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[1] - 2. Getting Started: Retrieve and Apply a Model to a Data Set
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Non-Information Resource URI: http://www.myexperiment.org/workflows/1763
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