onehotencoder的使用

Question

我是 python 的新手。我之前只有 VBA 中的代码。最近开始使用 python 进行数据挖掘，但在使用 python

时遇到了问题

我在使用 onehotencoder 正确转换我的分类特征时遇到问题，这是我的代码

from __future__ import print_function
import os import subprocess from sklearn.preprocessing import OneHotEncoder
from sklearn import preprocessing import csv    
import pandas as pd import numpy as np
from sklearn.tree import DecisionTreeClassifier, export_graphviz     

datapoint = []    
with open('raw2.csv',  'rb') as csvfile:    
    spamreader = csv.reader(csvfile, delimiter=',')    
    for row in spamreader: # Reading each row    
        data_point = []    
        for column in row: # Reading each column of the row    
            data_point.append((column))    
        datapoint.append(data_point)    
datapoint = np.array(datapoint)   

print(datapoint)
enc = preprocessing.OneHotEncoder()
enc.fit(datapoint)
enc.transform(datapoint).toarray()

features = list(df.columns[1:8])
print("* features:", features, sep="\n")
"#fit the decision tree"
y = df[,0]
X = df[features]
dt = DecisionTreeClassifier(min_samples_split=5, random_state=51)
dt.fit(X, y)

""produce graphic visualization""
def visualize_tree(tree, feature_names):
    """Create tree png using graphviz.

    Args
    ----
    tree -- scikit-learn DecsisionTree.
    feature_names -- list of feature names.
    """
    with open("dt.dot", 'w') as f:
        export_graphviz(tree, out_file=f,
                        feature_names=feature_names)

    command = ["dot", "-Tpng", "dt.dot", "-o", "dt.png"]
    try:
        subprocess.check_call(command)
    except:
        exit("Could not run dot, ie graphviz, to "
             "produce visualization")

visualize_tree(dt, features)

这是我的第一个数据集的样本

['Tobermory' 'Car' '2-3hr' 'Fall' '<0' '3 days' 'Male' '18 - 23']

这是我运行进入

的错误

ValueError                                Traceback (most recent call
last) <ipython-input-13-0bb2597d0276> in <module>()        
      25 enc = preprocessing.OneHotEncoder()    
 ---> 26 enc.fit(datapoint)    
      27 enc.transform(datapoint).toarray()    

ValueError: invalid literal for int() with base 10: 'Tobermory'

Answer 1

我相信您正在寻找 sklearn.preprocessing.LabelBinarizer。 OneHotEncoder 接受一个整数并从中创建虚拟变量。

http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html

onehotencoder的使用

Usage of onehotencoder

python

tree

encoder

numpy