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Overview - Umami documentation - CERN
After the preprocessing is finished, we can start training the different taggers which are supported by the Umami Framework. Theses taggers are DIPS, DIPS Attention, CADS, DL1, different …
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Start Training your Model - Umami documentation
Name of the tagger that is used/to be trained. The currently supported taggers are dips, dips_attention, cads, dl1, umami, umami and umami_cond_att. Note All version of DL1* (like …
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umami package — umami documentation - CERN
Umami.data_tools package umami.evaluation_tools package umami.helper_tools package umami.input_vars_tools package umami.metrics package umami.models package …
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Resampling - Umami documentation
Resampling. The resampling step is the most crucial task of the preprocessing. Using the samples from the preparation step, the resampling stitches together the used processes and, …
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umami — umami documentation
Umami.data_tools package umami.evaluation_tools package umami.helper_tools package umami.input_vars_tools package umami.metrics package umami.models package …
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Evaluate your Training - Umami documentation - CERN
Running the Evaluation. After the config is prepared switch to the umami/umami folder and run the evaluate_model.py by executing the following command: evaluate_model.py -c <path to …
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Preprocessing - Umami documentation
Umami documentation Preprocessing Initializing search
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Scaling/Shifting - Umami documentation
The scaling and shifting step calculates the scaling/shifting values for the variables which are defined in the var_dict and writes them into the .json scaling dict file using the resampled jets …
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umami.tests.integration package — umami documentation - CERN
Umami.tests.integration.test_plotting_umami. runPlotting (config, tagger) # Call plotting_umami.py and try to plot the results of the previous tests. Return value True if training …
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umami.preprocessing_tools package — umami documentation
Umami.helper_tools package umami.input_vars_tools package umami.metrics package umami.models package umami.plotting_tools package umami.preprocessing_tools package …
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Preprocessing - GNN Tagger
Preprocessing with Umami# The h5 files are processed by the umami framework to produce training files. The umami framework handles jet selection, kinematic resampling, and input …
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Amdocs digital network transformation communications
Amdocs is a leading software & services provider to communications & media companies, providing innovative solutions, intelligent operations & delivery expertise.
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CernerWorks
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docs/trainings · master · atlas-flavor-tagging-tools ... - GitLab
Umami Project information Project information Activity Labels Members Repository Repository Files Commits Branches Tags Contributors Graph Compare Locked Files Issues 32 Issues 32 …
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master · atlas-flavor-tagging-tools / algorithms / Umami - CERN
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