MOP training plan
Last update: 16.07.2025Define the training plan for the models in a MOP's competition. More...
Classes | |
| class | CreateSimpleTrainingPlan |
| This class is used to create training plans for the ScalarMOP competition. It sets up data according to an sample analysis to allow efficient training of the samples. It provides functions to access and cleanup the prepared data. More... | |
| struct | SimpleTrainingPlan |
| TrainingPlan assigns a in a set of sample each sample a status on how the sample is to be treated during the training of a model A model is trained for a set of outputs. More... | |
| struct | TrainingPlanBase |
| TrainingPlan assigns a in a set of sample each sample a status on how the sample is to be treated during the training of a model. More... | |
Typedefs | |
| using | SubspaceMatrix = std::vector< ParameterImportanceVector > |
| using | SubspaceMatrixList = std::vector< SubspaceMatrix > |
| using | TrainingPlanCollection = std::vector< TrainingPlanVector > |
| using | TrainingPlanVector = std::vector< TrainingSetVector > |
| using | TrainingSetVector = std::vector< SampleUsage > |
Enumerations | |
| enum | SampleUsage { Training = 0, Test, Ignore, Undefined } |
| SampleTrainingUsage is a set of states, that a sample may be assigned to in a training plan. | |
Variables | |
| nodefaultctor | QualityMeasureBase |
Detailed Description
Define the training plan for the models in a MOP's competition.
