All content

Metafeature extraction (1)

• Download

This is a metafeature extraction workflow used in Experimentation workflow for recommender extension operators. This workflow extracts metadata from the train/test datasets (user/item counts, rating count, sparsity etc). This workflow is called from the operator testing workflow using Execute Process operator.

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

Credits: Matko Bošnjak

Iterate through datasets (1)

• Download

This is a dataset iteration workflow. It is a part of Experimentation workflow for recommender extension. Loop FIles operator iterates through datasets from a specified directory using read aml operator. Only datasets specified with a proper regular expression are considered. Train and test data filenames must correspond e.g (train1.aml, test1.aml). In each iteration Loop Files calles specified operator testing workflow with Execute subprocess operator. Informations about training and t...

Created: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

View Download

Experimentation for recommender extension templates

Created: 2012-01-28 21:54:16 | Last updated: 2012-01-31 16:01:43

6 items in this pack

Comments: 0 | Viewed: 92 times | Downloaded: 50 times