pp-discretization.py

来自「orange源码 数据挖掘技术」· Python 代码 · 共 22 行

PY
22
字号
# Description: Shows how to use preprocessors for discretization
# Category:    preprocessing, discretization, categorization
# Classes:     Preprocessor, Preprocessor_discretize
# Uses:        iris
# Referenced:  preprocessing.htm

import orange
iris = orange.ExampleTable("iris")

pp = orange.Preprocessor_discretize()
pp.method = orange.EquiDistDiscretization(numberOfIntervals = 5)
data2 = pp(iris)

for ex in data2[:10]:
    print ex

pp.attributes = [iris.domain["petal length"], iris.domain["sepal length"]]
data2 = pp(iris)

for ex in data2[:10]:
    print ex

⌨️ 快捷键说明

复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?