pandas -KeyError:训练Keras模型时'[]不在索引中' [英] Pandas - KeyError: '[] not in index' when training a Keras model

问题描述

我正在尝试根据数据集中的部分特征训练Keras模型.我已经加载了数据集并提取了如下功能:

I'm trying to train a Keras model based on partial features from my data set. I've loaded the data set and extracted the features like so:

train_data = pd.read_csv('../input/data.csv')

X = train_data.iloc[:, 0:30]
Y = train_data.iloc[:,30]

# Code for selecting the important features automatically (removed) ...    

# Selectintg important features 14,17,12,11,10,16,18,4,9,3
X = train_data.reindex(columns=['V14','V17','V12','V11','V10','V16','V18','V4','V9','V3'])
print(X.shape[1]) # -> 10

但是当我调用fit方法时:

But when I'm calling the fit method:

# Fit the model
history = model.fit(X, Y, validation_split=0.33, epochs=10, batch_size=10, verbose=0, callbacks=[early_stop])

我收到以下错误:

KeyError: '[3 2 5 1 0 4] not in index'

我想念什么?

推荐答案

keras期望模型输入是numpy数组，而不是pandas.DataFrame s.试试:

keras expects model inputs to be numpy arrays - not pandas.DataFrames. Try:

X = train_data.iloc[:, 0:30].as_matrix()
Y = train_data.iloc[:,30].as_matrix()

由于as_matrix方法将pandas.DataFrame转换为numpy.array.

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