A class that stores samples, which are values for given considerations (conditions in decision tree) together with statistics of decisions performed under those considerations. When the learning process is stopped, then you can convert this object to a flat Dataset, that picks the most frequently chosen decision for each sample.
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A class that stores samples, which are values for given considerations (conditions in decision tree) together with statistics of decisions performed under those considerations. When the learning process is stopped, then you can convert this object to a flat Dataset, that picks the most frequently chosen decision for each sample.
◆ Add()
Adds a new sample
- Parameters
-
◆ ConvertToDataset() [1/2]
Converts to a flat dataset - with the chosen decision - that is suitable for constructing the DecisionTree. Use this variant of the method if all considerations have the same type.
- Parameters
-
considerationType | Type of each consideration |
count | The number of considerations |
- Returns
◆ ConvertToDataset() [2/2]
Converts to a flat dataset - with the chosen decision - that is suitable for constructing the DecisionTree.
- Parameters
-
considerationTypes | Pass types for each consideration. |
- Returns
The documentation for this class was generated from the following file:
- GrailSimulatedGames/source/SimulatedGames/OfflineLearning/UniqueTreeDataset.cs