python - Python代码返回: Syntaxerror non-keyword after keyword arg

Question

import csv
import numpy as np
from sklearn.svm import SVR
import matplotlib.pyplot as plt

dates = []
prices = []

def get_data(filename):
    with open(filename, 'r') as csvfile:
        csvFileReader = csv.reader(csvfile)
        next(csvFileReader)
        for row in csvFileReader:
            dates.append(int(row[0].split('-')[0]))
            prices.append(float(row[1]))
    return

def predict_price(dates, prices, x):
    dates = np.reshape(dates,(len(dates), 1))

    svr_rbf = SVR(kernel='rbf', C=1e3, gamma=0,1)
    svr_lin = SVR(kernel='linear', C=1e3)
    svr_poly = SVR(kernel='poly', C=1e3, degree=2)
    svn_lin.fit(dates, prices)
    svr_poly.fit(dates, prices)
    svr_rbf.fit(dates, prices)


    plt.scatter(dates, prices, color = 'black', label = 'Data')
    plt.plot(dates, svr_rbf.predict(dates), color = 'red', label = 'RBF model')
    plt.plot(dates, svr_lin.predict(dates), color = 'green', label = 'linear model')
    plt.plot(dates, svr_poly.predict(dates), color = 'blue', label = 'polynomial model')
    plt.xlabel('Date')
    plt.xlabel("Price")
    plt.title('Support Vector Regression')
    plt.legend()
    plt.show()

    return svr_rbf.predict(x)[0], svr_lin.predict(x)[0], svr_poly.predict(x)[0]

get_data('aapl.csv')

predicted_price = predict_price(dates, prices, 29)

print (predicted_price)

输出:

 File "predictstocks.py", line 21
    svr_rbf = SVR(kernel='rbf', C=1e3, gamma=0,1)
SyntaxError: non-keyword arg after keyword arg

好的，所以我现在已经在互联网上搜索了几个小时，并查看了不同的文档..但是我找不到解决我问题的方法。
如我的标题所述python代码返回以下内容:关键字arg后为Syntaxerror非关键字

Answer 1

gamma=0,1是两个参数，第一个为关键字，第二个为位置参数，该参数无效。您可能需要gamma=0.1来代替。