Search results for "rapidminer"

Model update workflow (1)

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This is a Model update workflow called from data iteration workflow on every given query set. In the Loop operator model and current training set are retrieved from the repository. Model update is performed on a given query set creating new model. Model and updated train set are saved in the repository.

Created: 2012-01-29 | Last updated: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

recommender workflow (RP) (1)

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This is a main online update experimentation workflow. It consists of three Execute Process operators. First operator executes model training workflow. Second operator executes online updates workflow for multiple query update sets. The last operator executes performance testing and comparison workflow. Final performance results are saved in an Excel file.

Created: 2012-01-29

Credits: Matej Mihelčić

Model update workflow (RP) (1)

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This is a Model update workflow called from data iteration workflow on every given query set. In the Loop operator model and current training set are retrieved from the repository. Model update is performed on a given query set creating new model. Model and updated train set are saved in the repository.

Created: 2012-01-29 | Last updated: 2012-01-30

Credits: Matej Mihelčić

Analyzing Data from a Linked Open Data SPA... (1)

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This process reads a list of countries, their GDP and energy consumption from the Eurostat Linked Open Data SPARQL Endpoint (http://wifo5-03.informatik.uni-mannheim.de/eurostat/) and analyzes whether there is a correlation between GDP and energy consumption

Created: 2013-09-11 | Last updated: 2013-09-11

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Heikopaulheim

Joined: Wednesday 11 September 2013 07:07:47 (UTC)

Last active:Monday 01 December 2014 08:07:03 (UTC)

Website:http://www.heikopaulheim.com/

Field/Industry:Research and Education | Occupation/Role(s):Postdoctoral Researcher

Operator testing workflow (1)

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This workflow is used for operator testing. It joins dataset metafeatures with execution times and performanse measures of the selected recommendation operator. In the Extract train and Extract test Execute Process operator user should open Metafeature extraction workflow. In the Loop Operator train/test data are used to evaluate performanse of the selected operator. Result is remebered and joined with the time and metafeature informations. This workflow can be used both for Item Recommend...

Created: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

Model saving workflow (RP) (1)

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This workflow trains and saves model for a selected rating prediction operator.

Created: 2012-01-29 | Last updated: 2012-01-30

Credits: Matej Mihelčić

Model testing workflow (RP) (1)

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This workflow measures performance of three models. Model learned on train data and upgraded using online model updates. Model learned on train data + all query update sets. Model learned on train data only.

Created: 2012-01-29 | Last updated: 2012-01-30

Credits: Matej Mihelčić