示例1: kernel_knn_graph ▲ # 需要导入模块: import KNN [as 别名]# 或者: from KNN importfind_knn[as 别名]defkernel_knn_graph(K, k):(N, D) = K.shape D = PSD.to_square_dist(K) idx = KNN.find_knn(D, k, want_self=False) G = create_knn_graph(N, idx, k)returnG, idx 开...
knn=cv2.ml.KNearest_create() # trains the model knn.train(trainData,responses)#TODO #TypeError: only length-1 arrays can be converted to Python scalars # New sample : (x,y) newcomer=np.random.randint(0,100, (1,2)).astype(np.float32) ...
开发者ID:ulisespereira,项目名称:OptimalLearningRule,代码行数:27,代码来源:fullmodel.py 示例14: find_user_top_match ▲点赞 1▼ deffind_user_top_match(self, user_index, nbr_recommendations =5, k =20, k_min =10, sim =0.15, rating_normalisation = True):''' Compute all the item's ratin...
knd.mat <- knn.mat # 遍历细胞 for (i in 1:n.cells) { # 排序,最小的下标排在最前面,取前k个 knn.mat[i, ] <- order(object[i, ])[1:k.param] # 把最小的k个距离下标,换成距离的值 knd.mat[i, ] <- object[i, knn.mat[i, ]] #这个有啥用?后面没再用了 //todo } # 距离...
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model. - tule2236/Airbnb-Dyn