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推荐系统遇上深度学习(十)--GBDT+LR融合方案实战- 文哥的学习...

FM模型理论和实践:https://www.jianshu.com/p/152ae633fb00推荐系统遇上深度学习(. ... # N * num_tress * num_leafs for i in range(0, len(y_pred)): temp = np.arange(len(y_pred[...
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Numpy知识点补充:np.expand_dims()&np.argmax() - caoqi95 - 简书

参考资料:numpy.expand_dimsnumpy.argmax详解numpy的argmax np.expand_dims:用于扩展数组的形状原始数组: np.expa. 创作你的创作 免费下载 Numpy知识点补充:np.exp...
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curl 命令详解- 木猫尾巴- 简书

P/--ftp-port 使用端口地址,而不是使用PASV -M/--manual 显示全手动 -Q/--quote 文件传输前,发送命令到服务器 -r/--range 检索来自HTTP/1.1或FTP服务器字节范围 --range-file...
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机器学习模型1 K-Nearest Neighbor(KNN)算法-基于Python skl. - 简书

leaf_size=30, p=2, metric=’minkowski’, metric_params=None, n_jobs=1, *kwargs ) n... # Fit the classifier to the training data knn.fit(X_train,y_train) #计算训练集的准确度 train_...
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数据爬虫(三):python中requests库使用方法详解- Weiker的博客- ...

发表时间:2018年2月2日 -  'Connection': 'keep-alive'} class 'requests.cookies.RequestsCookieJar' RequestsCookieJar[ Cookie locale=zh-CN for www.jianshu.com/ ]...blog.csdn.net/byweiker/article/det...-快照-C
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用例子学习PyTorch - 简书

learning_rate = 1e-6 for t in range(500): # Forward pass: compute predicted y h = x.dot(w1) h_relu = np.maximum(h, 0) y_pred = h_relu.dot(w2) # Compute and print loss loss = np...
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微擎常用开发文档- 简书

form action='{php echo $this- createWebUrl('excel', array());}' method='post' class='form-horizontal' role='form' enctype='multipart/form-data' onsubmit='return formcheck()' div clas...
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numpy.random中的shuffle和permutation - 简书

import numpy as np 创建ndarray data1 = [6,7.5, 8, 0, 1]arr1 = np.array(data1) print(arr1)创建多维数组 data2 = [[1,2,3,4],[5,6,7,8]]arr2 = np.arr. 陆文斌 仙境不过如此 这里不是仙境...
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Python数据分析与挖掘实战--读书笔记- 简书

(data[u'销量'] 400)&(data[u'销量'] 5000)] #过滤异常数据 statistics = data.describe() #保存基本统计量 print(statistics) print( --- ) statistics.loc['range'] = statistics.loc['max']-statistic...
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Pytorch 0.4.0 新版本特性- 简书

#老版本的写法 for data, label in data_loader: data, label = Variable(data), Variable(label) loss = criterion(model(data), target) #新版本不再需要再对Tensor进行包装成 Variable的...
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