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Packages that use TrainedModel | |
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ace | |
ace.datatypes |
Uses of TrainedModel in ace |
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Methods in ace that return TrainedModel | |
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TrainedModel |
Coordinator.train(double max_class_membership_spread,
double max_class_membership_count,
boolean order_randomly,
java.lang.String feature_selector,
java.lang.String classifier_type,
java.io.OutputStream out,
int max_attribute,
boolean verbose)
Trains a Weka Classifier based on a set of sample Instances. |
Methods in ace with parameters of type TrainedModel | |
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SegmentedClassification[] |
Coordinator.classify(java.lang.String results_file,
TrainedModel trained)
Classifies a set of instances with the given trained classifier. |
static SegmentedClassification[] |
InstanceClassifier.classify(TrainedModel trained,
DataBoard data_board,
weka.core.Instances instances,
java.lang.String results_file,
boolean save_intermediate_arffs)
Classify a set of instances using a trained Weka Classifier. |
static weka.core.Instances |
InstanceClassifier.classifyInstances(TrainedModel trained,
weka.core.Instances instances,
boolean save_intermediate_arffs)
Classifies a set of Weka Instances. |
java.lang.String |
CrossValidator.crossValidate(TrainedModel trained,
CrossValidationResults[] cvres,
weka.core.Instances instances,
java.io.OutputStream out,
java.lang.StringBuffer cv_results,
java.lang.String file_name,
java.lang.String feature_selector,
boolean save_intermediate_arffs,
boolean verbose,
int i)
Cross validates a set of Weka Instances. |
java.lang.String |
Coordinator.performDimensionalityReduction(TrainedModel trained,
java.lang.String feature_selector,
int max_attribute,
java.io.OutputStream out,
boolean verbose)
Performs dimensionality reduction on a set of Weka Instances. |
static void |
Experimenter.resetClassifier(TrainedModel trained)
Instantiates a new instance of the Weka Classifier contained in the given TrainedModel. |
static void |
Trainer.train(weka.core.Instances instances,
TrainedModel trained)
Trains the Weka Classifier contained in the given TrainedModel object based on the given traning Instances. |
Uses of TrainedModel in ace.datatypes |
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Fields in ace.datatypes declared as TrainedModel | |
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TrainedModel |
CrossValidationResults.trained
The serializable object containing reference to the Weka objects that were use for classification in this cross validation. |
Methods in ace.datatypes with parameters of type TrainedModel | |
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SegmentedClassification[] |
DataBoard.getClassifiedResults(weka.core.Instances instances,
boolean save_intermediate_arffs,
TrainedModel trained,
boolean use_top_level_features,
boolean use_sub_section_features)
Classify the given set of Instances using the given AttributeSelection and the given Classifier. |
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