Question

我有这些数据：

print training_data
print labels

# prints

[[1, 0, 1, 1], [1, 1, 1, 1], [1, 0, 1, 1], [1, 1, 1, 0], [1, 1, 0, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 0,0], [1, 1, 1, 1], [1, 0, 1, 1]]
['a', 'b', 'a', 'b', 'a', 'b', 'b', 'a', 'a', 'a', 'b']

我正在尝试将它从sklearn python库提供给RandomForestClassifier。

classifier = RandomForestClassifier(n_estimators=10)
classifier.fit(training_data, labels)

但收到此错误：

Traceback (most recent call last):
  File "learn.py", line 52, in <module>
    main()
  File "learn.py", line 48, in main
    classifier = train_classifier()
  File "learn.py", line 33, in train_classifier
    classifier.fit(training_data, labels)
  File "/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/ensemble/forest.py", line 348, in fit
    y = np.ascontiguousarray(y, dtype=DOUBLE)
  File "/Library/Python/2.7/site-packages/numpy-1.8.0.dev_bbcfcf6_20130307-py2.7-macosx-10.8-intel.egg/numpy/core/numeric.py", line 419, in ascontiguousarray
    return array(a, dtype, copy=False, order='C', ndmin=1)
ValueError: could not convert string to float: a

我的猜测是我没有正确格式化这些数据以进行拟合。但我不明白为什么来自the documentation

这似乎是一个非常基本的简单问题。有人知道答案吗？

Answer 1

尝试使用LabelEncoder预先转换标签。

Answer 2

您可以使用分类器自动识别的numpy数组，如下所示：

import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;

import org.apache.poi.xslf.model.geom.AddSubtractExpression;

public class a {

    private static FileWriter fw;
    private static FileReader fr;
    private static BufferedWriter bw;
    private static BufferedReader br;
    static File file;

    public static void openFile() {
        try{ //exception handling
            file = new File("jibberish.txt");
            fw = new FileWriter(file); //dont put filewriter or buffedwriter before these, because already declared and end up
            bw = new BufferedWriter(fw);  //making null expection thing
            fr = new FileReader(file);
            br = new BufferedReader(fr);
        }catch(Exception ioe){ 
            System.out.println("Trouble reading from the file: " + ioe.getMessage());
        }
    }


    public static void addStuff(String toAdd){ 
        String line = "";

        try {
            bw.write(toAdd);
            //bw.newLine();
            System.out.println(toAdd + " added");
            //line = br.readLine();
             while((line = br.readLine()) != null) {
                    System.out.println(line + "r");
                }
        } catch (Exception e) {               
            e.printStackTrace();
            System.out.println("Error at addstuff");
        }
    }


    public static void main(String... args){
        openFile();
        int i=0;
        while(true)
            addStuff("hello" + i++);
    }
}

那应该有用

Sklearn：如何将数据提供给sklearn RandomForestClassifier

2 个答案: