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Discussion: Splitting the "Benchmark Framework" and the "Dataset Processing" into two separate projects.

Status: Open.

#45 In ISG-Siegen/AutoML_for_Recommender_Systems;

· LennartPurucker opened on Feb 22, 2022

Add names of algorithms to make them better for papers etc.

Status: Open.

#43 In ISG-Siegen/AutoML_for_Recommender_Systems;

· LennartPurucker opened on Feb 16, 2022

Add CaseRecommender

Status: Open.

#42 In ISG-Siegen/AutoML_for_Recommender_Systems;

· LennartPurucker opened on Feb 16, 2022

Cam we integrate Implicit Feedback?

Status: Open.

#41 In ISG-Siegen/AutoML_for_Recommender_Systems;

· LennartPurucker opened on Feb 15, 2022

Discussion: Change Framework to export Predictions (and only compute error afterwards)

help wantedExtra attention is neededExtra attention is needed

questionFurther information is requestedFurther information is requested

Status: Open.

#37 In ISG-Siegen/AutoML_for_Recommender_Systems;

· LennartPurucker opened on Feb 9, 2022

Add a version of the overall runner class (container_env_mgmt) to enable the usage of the benchmark with only a few libraries and dataset that is locally

Status: Open.

#35 In ISG-Siegen/AutoML_for_Recommender_Systems;

· LennartPurucker opened on Feb 4, 2022

Enable the usage of Cross validation

Status: Open.

#32 In ISG-Siegen/AutoML_for_Recommender_Systems;

· LennartPurucker opened on Feb 3, 2022

Include HistGradientBoostingRegressor in benchmark

Status: Open.

#31 In ISG-Siegen/AutoML_for_Recommender_Systems;

· lukas-wegmeth opened on Feb 3, 2022