我正在尝试使用从 csv 读取的一些数据运行 tensorflow DNNClassifier 模型。即使我将每列的数据类型转换为 float32，我仍然得到 'DataFrame' 对象没有属性 'dtype' 错误。如果您能帮助我，我将不胜感激。
数据格式：27 列，23 个输入，4 个类
谢谢
import numpy as np
import pandas as pd
import tensorflow as tf
import matplotlib.pyplot as plt
%matplotlib inline
factors = pd.read_csv('xxx.csv')
#Formatting data to float32
factors['1'] = factors['1'].astype('float32')
factors['2'] = factors['2'].astype('float32')
...
factors['27'] = factors['27'].astype('float32')
#Definition of in- and output
feat_data = factors[['1', '2', ... '23']]
labels = factors[['24', '25','26', '27']]
#Train-Test Split
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(feat_data,labels, test_size=0.3, …