source: orange/Orange/testing/regression/tests_20/modules_PCA4.py @ 9952:986e9cd806f4

Revision 9952:986e9cd806f4, 461 bytes checked in by Miha Stajdohar <miha.stajdohar@…>, 2 years ago (diff)

Tests moved and renamed from orange 20.

Line 
1# Description: projecting data with trained PCA
2# Category:    projection
3# Uses:        iris
4# Referenced:  orngPCA.htm
5# Classes:     orngPCA.PCA
6
7import orange, orngPCA
8
9data = orange.ExampleTable("iris.tab")
10
11attributes = ['sepal length', 'sepal width', 'petal length', 'petal width']
12pca = orngPCA.PCA(data, attributes = attributes, standardize = True)
13
14projected = pca(data)
15print "Projection on first two components:"
16for d in projected[:5]:
17    print d
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