【发布时间】:2020-04-08 10:21:39
【问题描述】:
我一直在关注我在网上找到的关于深度学习中的语音分析的教程,它一直给我命名错误。我对python很陌生,所以我不确定如何定义它。但是train_test_split是默认拆分数据的方法,train_test_split是导入的。
代码如下:
'''
import numpy as np
import pandas as pd
import os
import seaborn as sns
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('fivethirtyeight')
from tqdm import tqdm
print(os.listdir("../input"))
from keras import Sequential
from keras import optimizers
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential,Model
from keras.layers import LSTM, Dense, Bidirectional, Input,Dropout,BatchNormalization,CuDNNLSTM, GRU, CuDNNGRU, Embedding, GlobalMaxPooling1D, GlobalAveragePooling1D, Flatten
from keras import backend as K
from keras.engine.topology import Layer
from keras import initializers, regularizers, constraints
from sklearn.model_selection import KFold, cross_val_score, train_test_split
train = pd.read_json('C:/Users/User/Downloads/dont-call-me-turkey/train.json')
display(train.shape)
train.head()
train_train, train_val = train_test_split(train, random_state = 42)
xtrain = [k for k in train_train['audio_embedding']]
ytrain = train_train['is_turkey'].values
xval = [k for k in train_val['audio_embedding']]
yval = train_val['is_turkey'].values '''
它给出了一个错误:
NameError Traceback (most recent call last)
<ipython-input-19-1e07851e6519> in <module>
----> 1 train_train, train_val = train_test_split(train, random_state = 42)
2 xtrain = [k for k in train_train['audio_embedding']]
3 ytrain = train_train['is_turkey'].values
4 xval = [k for k in train_val['audio_embedding']]
5 yval = train_val['is_turkey'].values
NameError: name 'train_test_split' is not defined
【问题讨论】:
-
如果你输入这个:
from sklearn.model_selection import train_test_split你会得到什么? -
我得到'name 'train' is not defined'
-
你做错了什么。
train是您定义的 pandas 数据框。 -
您是否运行了所有单元格?
标签: python deep-learning jupyter-notebook nameerror