IndexError:索引过多 [英] IndexError: too many indices

问题描述

我正尝试在scikit-learn中使用一种算法，根据许多输入来预测输出.我似乎正在得到错误索引过多"，但无法弄清楚原因.

I am trying to use an algorithm in scikit-learn to predict the output based on a number of inputs. I seem to be getting the error 'too many indices' returned, but cannot figure out why.

CSV文件培训:

 1.1    0.2 0.1 0   0.12    0.1
 1.4    0.2 0.1 0.1 0.14    0.1
 0.1    0.1 0.1 0   0.26    0.1
 24.5   0.1 0   0.1 0.14    0.1
 0.1    0.1 0.1 0   0.25    0.1

代码:

    fileCSVTraining = genfromtxt('TrainingData.csv', delimiter=',', dtype=None)

    #Define first 6 rows of data as the features
    t = fileCSVTraining[:, 6:]

    #Define which column to put prediction in
    r = fileCSVTraining[:, 0-6:]    
    #Create and train classifier 
    x, y = r, t
    clf = LinearSVC()
    clf = clf.fit(x, y)     
    #New data to predict
    X_new = [1.0, 2.1, 3.0, 2.4, 2.1]
    b = clf.predict(X_new)

错误:

 t = fileCSVTraining[:, 6:]
 IndexError: too many indices 

推荐答案

根据评论，我认为您想要:

Based on the comments, I think you want:

fileCSVTraining = genfromtxt('TrainingData.csv')

然后，要获取前6行"，您将使用

Then, to get the "first 6 rows", you would use

t = fileCSVTraining[:6, :]

(我假设您的实际数据文件比您显示的长.您的示例只有5行.)

(I'm assuming your actual data file is longer than you've shown. Your example has only 5 rows.)

我怀疑您使用数组索引获取r也是错误的.

I suspect your use of array indexing to get r is also incorrect.

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