在使用python的回归中找到样本数不一致的输入变量：[50200]

Question

我正在使用python中的回归模型。这是我的源代码

我创建了一个变量，并将其分配给想要预测的天数。创建一个新的目标列并移动“x”单位

future_days = 50
df['Prediction'] = df['PriceUSD'].shift(-future_days)
df.tail(4)

创建要素数据集并将其转换为numpy数组

X = np.array(df.drop(['Prediction'],1))[:future_days]
print(X)

创建目标数据集y并将其转换为NumPy数组。获取所有值后

y = np.array(df['Prediction'])[:-future_days]
print(y)

拆分数据集

x_train, x_test, y_train, y_test = train_test_split(X, y, test_size = 0.25)

我在拆分测试集时出错

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-57-34da76684947> in <module>()
----> 1 x_train, x_test, y_train, y_test = train_test_split(X, y, test_size = 0.99)

2 frames
/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py in check_consistent_length(*arrays)
    210     if len(uniques) > 1:
    211         raise ValueError("Found input variables with inconsistent numbers of"
--> 212                          " samples: %r" % [int(l) for l in lengths])
    213 
    214 

ValueError: Found input variables with inconsistent numbers of samples: [50, 200]