"ValueError: could not convert string to float: "机器学习拟合分类器

Question

当我尝试拟合分类器时，出现错误：

值错误： 无法将字符串转换为浮点数： '4/1/2010'

# Load the Pandas libraries with alias 'pd'
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
from math import sqrt
from ml_metrics import rmse
# Read data from file 'filename.csv'
# (in the same directory that your python process is based)
# Control delimiters, rows, column names with read_csv (see later)
data = pd.read_csv("NASDAQ.csv")
data.dropna(inplace=True)
#df.drop_duplicates(inplace=True)
nInstances, nAttributes = data.shape
if data.shape[0]:
    train = data[:1762]
    test = data[1762:]
x_train= train.values[:,0:nAttributes-1]
y_train= train.values[:,nAttributes-1]

# classifiers Linear Regression, Logistic Regression, kNN, SVM και MLP
clf = LinearRegression().fit(x_train, y_train)

你能检查一下这个并帮助我找出问题在哪里吗？

Answer 1

特别是对于日期列，您可以按照此答案的建议在读取 csv 时使用parse_dates=['column name']。