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max_features 未定义
Line 123 in 9747840
git 配置存在问题
运行,配置正确的邮箱和用户名
$ git config --global user.name "John Doe"
$ git config --global user.email [email protected]
DGA全球区域分布统计分析
建议加一个load_model函数,不要循环加载model
Line 156 in 9747840
在类初始化时调用
def load_model(self):
#load trained model
model_name = self.feature + '&' + self.method + '.model'
self.model = joblib.load(model_name)
添加命令行参数处理
Line 211 in 066a8ca
from optparse import OptionParser
parser.add_option("-i", "--input",dest="input", action="store", type="string",help="input file for predict dga domains" )
parser.add_option("-o", "--output", dest="output" ,action="store", type="string",help='output file tag dag domains')
parser.add_option('-f', '--feature', dest='feature', type='choice', choices=['2-gram', '234-gram', 'charseq'], default=None, help='feature ....')
parser.add_option('-m', '--method', dest='method', type='choice', choices=['kmeans', 'mlp', 'rnn','svm'], default=None, help='method ....')
options, args = parser.parse_args()
dga_test = dga_dect(options.feature, options.method)
dga_test.predict(options.input)
outcome = pd.read_csv(options.outcome, header = True, sep = ',')
print sample(outcome, 100)
self.predict_Webnames(Webnames, filewriter)
Line 205 in 066a8ca
输入输出问题
结果保存到输出文件中
Line 193 in 6472f5a
每一百条数据预测一次，增加函数def predict_domains(self, domains):
Line 138 in 6472f5a
修改为
class dga_dect():
def predict_domains(self, domains):
pass
def predict(self, filepath):
count = 0
fp = open(filepath,"rb")
domains = []
for line in fp:
if len(domains) > 100:
#每100条处理一次
self.predict_domains(domains)
domains=[]
domains.append(line)
#最后再处理一次
self.predict_domains(domains)
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