# Commits

committed bd71f96

Documentation fixes.

• Participants
• Parent commits 754ecbe

# File orange/Orange/__init__.py

_import("regression.tree")

_import("multitarget")
+_import("multitarget.tree")

_import("multilabel")
_import("multilabel.multibase")

# File orange/Orange/evaluation/scoring.py

extracted from a picture is a van, bus, or Opel or Saab car).

Basic cross validation example is shown in the following part of

.. literalinclude:: code/statExample0.py

.. autofunction:: mlc_precision
.. autofunction:: mlc_recall

-So, let's compute all this in part of
-(`ml-evaluator.py`_, uses `multidata.tab`_) and print it out:
-
-.. literalinclude:: code/mlc-evaluator.py
+So, let's compute all this and print it out (part of
+
+.. literalinclude:: code/mlc-evaluate.py
:lines: 1-15

-.. _multidata.tab: code/multidata.tab
-.. _ml-evaluator.py: code/mlc-evaluator.py
-
The output should look like this::

loss= [0.9375]

# File orange/Orange/multitarget/__init__.py

import Orange

-import tree
-
# Other algorithms which also work with multitarget data
from Orange.regression import pls
# change the default value of multi_label=True in init

# File orange/Orange/statistics/basic.py

"""
-==========================================
+.. index:: Basic Statistics for Continuous Features
+
+========================================
Basic Statistics for Continuous Features
-==========================================
+========================================

The are two simple classes for computing basic statistics
for continuous features, such as their minimal and maximal value

# File orange/Orange/statistics/contingency.py

"""
+.. index:: Contingency table
+
=================
Contingency table
=================

# File orange/Orange/statistics/distribution.py

"""
+.. index:: Distributions
+
=============
Distributions
=============

# File orange/Orange/statistics/estimate.py

"""
+.. index:: Probability Estimation
+
=======================================
Probability Estimation (``estimate``)
=======================================