hhstructure.txt

orange源码 数据挖掘技术

Reference Guide ---> default.htm
	Data Structures ---> default.htm		
		Descriptions of attributes ---> Variable.htm	
		Descriptions of domains ---> Domain.htm	
		Values of attributes ---> Value.htm	
		Data instances ---> Example.htm	
		Data sets ---> ExampleTable.htm	
			Converting to/from Numeric and GSL ---> matrix.htm
		Loading and saving data ---> fileformats.htm	
			Tab-delimited files (.tab, .txt, .csv, .xls) ---> tabdelimited.htm
			Other formats (C4.5, Assistant, Retis) ---> otherformats.htm
			Basket file format ---> basket.htm
			User-defined file formats ---> userformats.htm
			Domain depots ---> DomainDepot.htm
		Attribute types defined in Python ---> PythonVariable.htm	
	Preprocessing ---> default.htm		
		Basic preprocessing ---> preprocessing.htm	
		Filters ---> filters.htm	
		Sampling ---> randomindices.htm	
		Discretization ---> discretization.htm	
		Removal of unused attribute values ---> unusedvalues.htm	
	Miscelaneuos classes ---> default.htm
		Basic Attribute Statistics ---> basicstat.htm
		Distributions ---> distributions.htm
		Contingency matrix ---> contingency.htm
		Cost matrix ---> CostMatrix.htm
		Symmetric matrices ---> SymMatrix.htm
		Relevance of attributes ---> MeasureAttribute.htm
		Probability estimation ---> ProbabilityEstimation.htm
		Distances between examples ---> ExamplesDistance.htm
		Finding nearest neighbours ---> FindNearest.htm
		Generating subsets of attributes ---> SubsetsGenerator.htm
		Value transformers ---> TransformValue.htm
		Imputation ---> imputation.htm
	Classification, Regression, Clustering ---> default.htm
		Association rules ---> associationRules.htm
		C45 Learner ---> C45Learner.htm
		Classification and regression trees ---> TreeLearner.htm
		Classifiers from Attributes ---> classifierFromVar.htm
		Classifiers in Python ---> classifiersInPython.htm
		Clustering ---> clustering.htm
		Default classifier ---> majority.htm
		Function decomposition ---> default.htm
		k-nearest neighbors ---> kNNLearner.htm
		Logistic regression ---> LogisticLearner.htm
		Lookup classifiers ---> lookup.htm
		Naive Bayes classifier ---> BayesLearner.htm
		Random classifier ---> RandomClassifier.htm
		Support vector machines ---> default.htm
	Other Topics ---> default.htm
		User defined output formats ---> output.htm
		Orange lists ---> default.htm
		Random numbers ---> random.htm
		Warnings ---> warnings.htm
		Orange peculiarities: non-Pythonic behaviour ---> peculiarities.htm
		Subtyping Orange classes in Python ---> callbacks.htm
		Writing Extensions in C++ ---> c-to-python-interface.htm