Ignore:
Timestamp:
02/07/12 22:35:42 (2 years ago)
Author:
Matija Polajnar <matija.polajnar@…>
Branch:
default
Message:

Remove links from documentation to datasets. Remove datasets reference directory.

File:
1 edited

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  • docs/tutorial/rst/classification.rst

    r9385 r9994  
    3737construct a naive Bayesian classifier from voting data set, and 
    3838will use it to classify the first five instances from this data set 
    39 (:download:`classifier.py <code/classifier.py>`, uses :download:`voting.tab <code/voting.tab>`):: 
     39(:download:`classifier.py <code/classifier.py>`):: 
    4040 
    4141   import orange 
     
    7474additional parameter ``orange.GetProbabilities``. Also, note that the 
    7575democrats have a class index 1. We find this out with print 
    76 ``data.domain.classVar.values`` (:download:`classifier2.py <code/classifier2.py>`, uses :download:`voting.tab <code/voting.tab>`):: 
     76``data.domain.classVar.values`` (:download:`classifier2.py <code/classifier2.py>`):: 
    7777 
    7878   import orange 
     
    120120a wrapper (module) called ``orngTree`` was build around it to simplify 
    121121the use of classification trees and to assemble the learner with 
    122 some usual (default) components. Here is a script with it (:download:`tree.py <code/tree.py>`, 
    123 uses :download:`voting.tab <code/voting.tab>`):: 
     122some usual (default) components. Here is a script with it (:download:`tree.py <code/tree.py>`):: 
    124123 
    125124   import orange, orngTree 
     
    231230have already learned), majority and k-nearest neighbors classifier 
    232231(new ones) and prints prediction for first 10 instances of voting data 
    233 set (:download:`handful.py <code/handful.py>`, uses :download:`voting.tab <code/voting.tab>`):: 
     232set (:download:`handful.py <code/handful.py>`):: 
    234233 
    235234   import orange, orngTree 
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