Changeset 9550:bd71f96b33d5 in orange


Ignore:
Timestamp:
01/18/12 13:09:59 (2 years ago)
Author:
lanz <lan.zagar@…>
Branch:
default
Convert:
dcf2d7374c03979b8a8ef7dce9c0cd6d3bd29af7
Message:

Documentation fixes.

Location:
orange/Orange
Files:
7 edited

Legend:

Unmodified
Added
Removed
  • orange/Orange/__init__.py

    r9541 r9550  
    6767 
    6868_import("multitarget") 
     69_import("multitarget.tree") 
    6970 
    7071_import("multilabel") 
  • orange/Orange/evaluation/scoring.py

    r9505 r9550  
    2626 
    2727Basic cross validation example is shown in the following part of  
    28 (:download:`statExamples.py <code/statExamples.py/>`, uses :download:`voting.tab <code/voting.tab>` and :download:`vehicle.tab <code/vehicle.tab>`): 
     28(:download:`statExamples.py <code/statExamples.py>`, uses :download:`voting.tab <code/voting.tab>` and :download:`vehicle.tab <code/vehicle.tab>`): 
    2929 
    3030.. literalinclude:: code/statExample0.py 
     
    420420.. autofunction:: mlc_recall 
    421421 
    422 So, let's compute all this in part of  
    423 (`ml-evaluator.py`_, uses `multidata.tab`_) and print it out: 
    424  
    425 .. literalinclude:: code/mlc-evaluator.py 
     422So, let's compute all this and print it out (part of 
     423:download:`mlc-evaluate.py <code/mlc-evaluate.py>`, uses 
     424:download:`emotions.tab <code/emotions.tab>`): 
     425 
     426.. literalinclude:: code/mlc-evaluate.py 
    426427   :lines: 1-15 
    427  
    428 .. _multidata.tab: code/multidata.tab 
    429 .. _ml-evaluator.py: code/mlc-evaluator.py 
    430428 
    431429The output should look like this:: 
  • orange/Orange/multitarget/__init__.py

    r9534 r9550  
    11import Orange 
    2  
    3 import tree 
    42 
    53# Other algorithms which also work with multitarget data 
  • orange/Orange/statistics/basic.py

    r9349 r9550  
    11""" 
    2 ========================================== 
     2.. index:: Basic Statistics for Continuous Features 
     3 
     4======================================== 
    35Basic Statistics for Continuous Features 
    4 ========================================== 
     6======================================== 
    57 
    68The are two simple classes for computing basic statistics 
  • orange/Orange/statistics/contingency.py

    r9136 r9550  
    11""" 
     2.. index:: Contingency table 
     3 
    24================= 
    35Contingency table 
  • orange/Orange/statistics/distribution.py

    r9526 r9550  
    11""" 
     2.. index:: Distributions 
     3 
    24============= 
    35Distributions 
  • orange/Orange/statistics/estimate.py

    r9135 r9550  
    11""" 
     2.. index:: Probability Estimation 
     3 
    24======================================= 
    35Probability Estimation (``estimate``) 
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