source: orange/Orange/doc/reference/hhstructure.txt @ 9671:a7b056375472

Revision 9671:a7b056375472, 2.4 KB checked in by anze <anze.staric@…>, 2 years ago (diff)

Moved orange to Orange (part 2)

Line 
1Reference Guide ---> default.htm
2    Data Structures ---> default.htm       
3        Descriptions of attributes ---> Variable.htm   
4        Descriptions of domains ---> Domain.htm
5        Values of attributes ---> Value.htm
6        Data instances ---> Example.htm
7        Data sets ---> ExampleTable.htm
8            Converting to/from Numeric and GSL ---> matrix.htm
9        Loading and saving data ---> fileformats.htm   
10            Tab-delimited files (.tab, .txt, .csv, .xls) ---> tabdelimited.htm
11            Basket file format ---> basket.htm
12            User-defined file formats ---> userformats.htm
13            Domain depots ---> DomainDepot.htm
14        Attribute types defined in Python ---> PythonVariable.htm   
15    Preprocessing ---> default.htm     
16        Basic preprocessing ---> preprocessing.htm 
17        Filters ---> filters.htm   
18        Sampling ---> randomindices.htm
19        Discretization ---> discretization.htm 
20        Removal of unused attribute values ---> unusedvalues.htm   
21    Miscelaneuos classes ---> default.htm
22        Basic Attribute Statistics ---> basicstat.htm
23        Distributions ---> distributions.htm
24        Contingency matrix ---> contingency.htm
25        Cost matrix ---> CostMatrix.htm
26        Symmetric matrices ---> SymMatrix.htm
27        Relevance of attributes ---> MeasureAttribute.htm
28        Probability estimation ---> ProbabilityEstimation.htm
29        Distances between examples ---> ExamplesDistance.htm
30        Finding nearest neighbours ---> FindNearest.htm
31        Generating subsets of attributes ---> SubsetsGenerator.htm
32        Value transformers ---> TransformValue.htm
33        Imputation ---> imputation.htm
34    Classification, Regression, Clustering ---> default.htm
35        Association rules ---> associationRules.htm
36        C45 Learner ---> C45Learner.htm
37        Classification and regression trees ---> TreeLearner.htm
38        Classifiers from Attributes ---> classifierFromVar.htm
39        Classifiers in Python ---> classifiersInPython.htm
40        Clustering ---> clustering.htm
41        Default classifier ---> majority.htm
42        Function decomposition ---> default.htm
43        k-nearest neighbors ---> kNNLearner.htm
44        Logistic regression ---> LogisticLearner.htm
45        Lookup classifiers ---> lookup.htm
46        Naive Bayes classifier ---> BayesLearner.htm
47        Random classifier ---> RandomClassifier.htm
48        Support vector machines ---> default.htm
49    Other Topics ---> default.htm
50        User defined output formats ---> output.htm
51        Orange lists ---> default.htm
52        Random numbers ---> random.htm
53        Warnings ---> warnings.htm
54        Orange peculiarities: non-Pythonic behaviour ---> peculiarities.htm
55        Subtyping Orange classes in Python ---> callbacks.htm
56        Writing Extensions in C++ ---> c-to-python-interface.htm
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