Search Java Classes and Packages
#Org.knime.base.node.mine.decisiontree2.learner2 Classes and Interfaces - 26 results found.
| Name | Description | Type | Package | Framework |
| AtomicDouble | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME | |
| ClassValueDataRow | A data row represented as a double array. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| DataRowWeighted | A data row represented as a double array. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| DecisionTreeLearnerNodeDialog2 | Dialog for a decision tree learner node. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| DecisionTreeLearnerNodeFactory2 | The Factory for the DecisionTreeLearnerNodeModel2 algorithm. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| DecisionTreeLearnerNodeFactory3 | The Factory for the DecisionTreeLearnerNodeModel2 algorithm. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| DecisionTreeLearnerNodeModel2 | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME | |
| DecTreeLearnerGraphView2 | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME | |
| DecTreeNodeView2 | This node view is exactly the same as the one for the c4. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| InMemoryTable | Additionally, this class maintains distribution information about the class values and possible values of nominal attributes. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| InMemoryTableCreator | Creates an in memory representation of the given BufferedDataTable. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| NominalValueHistogram | Represents a count histogram for nominal values. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| ParallelProcessing | Holds information for the parallel processing and is also used for synchronization stuff. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| Partitioner | Partitions a table according to a given split. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| Pruner | Class implementing pruning schemes. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| PruningResult | A pruning result is the possibly new node and a quality value (e. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| Split | Calculates the best split for a given attribute list and the original classSince:2. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| SplitContinuous | This class determines the best split for a numeric attribute. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| SplitFinder | Finds the best split for a given InMemoryTable. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| SplitNominal | Super class for all nominal split variants. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| SplitNominalBinary | This class determines the best binary split for a nominal attribute. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| SplitNominalNormal | This class determines the best split for a nominal attribute. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| SplitQualityGainRatio | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME | |
| SplitQualityGini | subtracted from 1 (worst value), thus the gini index is also better if it is larger than another gini index (same as for gain ratio). | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| SplitQualityMeasure | The abstract class for split quality measures like gini or gain ratio. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |
| ValueMapper | A mapper mapping the objects of the defined class S to integer indices and vice versa. | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME |