errorCount=0.0#对分类错误的计数变量进行初始化 mTest=len(testFileList)foriinrange(mTest):fileNameStr=testFileList[i]fileStr=fileNameStr.split('.')[0]classNumStr=int(fileStr.split('_')[0])vectorUnderTest=img2vector('testDigits/%s'%fileNameStr)classifierResult=classify0(vectorUnderTest,trainin...
3、Peter Harrington《Machine Learing in Action》 4、https:///fengdu78/lihang-code/blob/master/%E7%AC%AC03%E7%AB%A0%20k%E8%BF%91%E9%82%BB%E6%B3%95/3.KNearestNeighbors.ipynb
knn = KNeighborsClassifier(n_neighbors=2,weights='distance')#初始化一个knn模型,设置k=2。weights='distance'样本权重等于距离的倒数。'uniform'为统一权重knn.fit(X, y)#根据样本集、结果集,对knn进行建模result = knn.predict([[3,2,2,5]])#使用knn对新对象进行预测print(result) ...
fromsklearn.neighborsimportKNeighborsClassifierimportpandasaspd# 数据准备data=pd.read_csv('movies.csv')X=data[['feature1','feature2']]# 特征y=data['genre']# 标签# KNN模型knn=KNeighborsClassifier(n_neighbors=5)knn.fit(X,y)# 预测new_movie=[[value1,value2]]prediction=knn.predict(new_movie...
vectorUnderTest= img2vector('testDigits/%s'%fileNameStr)#调用knn算法进行测试classifierResult = classify(vectorUnderTest, trainingMat, hwLabels, 3)print"the classifier came back with: %d, the real answer is: %d"%(classifierResult, classNumStr)if(classifierResult != classNumStr): errorCount +...
You can also add other parameters and test your code here Some parameters are:n_neighbors,leaf_size DocumentationofsklearnK-Neighbors Classifier:https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html'''
scikit-learn is a popular library for machine learning in Python. importmatplotlib.pyplotasplt fromsklearn.neighborsimportKNeighborsClassifier Create arrays that resemble variables in a dataset. We have two input features (xandy) and then a target class (class). The input features that are pre-la...
Python gorse-io/gorse Star8.8k Code Issues Pull requests Discussions Gorse open source recommender system engine gomachine-learningcollaborative-filteringrecommender-systemknn UpdatedMar 11, 2025 Go lxztju/pytorch_classification Star1.4k 利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型...
2.1、调用scikit-learn库中KNN算法 2007年,Scikit-learn首次被Google Summer of Code项目开发使用,现在已经被认为是最受欢迎的机器学习Python库。 安装:pip install scikit-learn 在这里插入图片描述 # 使用scikit-learn中的KNN算法 from sklearn.neighbors import KNeighborsClassifier # 初始化设置k大小 knn_classifier...
python knn KNeighborsClassifier 最近邻算法选项用法示例详解 sklearn.neighbors.KNeighborsClassifier 概述 参数 属性 方法 示例 方法 fit(X, y) get_metadata_routing() get_params([deep]) kneighbors([X, n_neighbors, return_distance]) kneighbors_graph([X, n_neighbors, mode]) predict(X) predict_prob...