[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fcuqCJ5pgOX4hkk5IoWT5sNctEsBxIVNr0M9FsoaOpHU":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":31,"type":32},[],"2025-06-20 09:24:30",193841563,[8,9,10,11],"支持向量机","朴素贝叶斯","线性回归","K-Means",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},10,"63f5e4101794b16997aa0c24f308a5a4","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0bb87682704c0325517013b148884cb8.jpeg","Spark技术及应用","work_44055467","Spark MLlib课后习题","下列选项中( )算法不属于有监督学习算法",[21,33,41,44,50,59,69,78,87,93],{"answer":22,"createTime":23,"id":24,"options":25,"question":30,"source":31,"type":32},[],"2025-06-20 09:24:32",193841514,[26,27,28,29],"有监督学习和强化学习","无监督学习和强化学习","有监督学习、无监督学习和强化学习","有监督学习、无监督学习和半监督学习","机器学习可以分为( )","v1",0,{"answer":34,"createTime":35,"id":36,"options":37,"question":40,"source":31,"type":32},[],"2025-06-20 09:24:31",193841549,[11,38,9,39],"决策树","FP","下列属于关联规则算法是( )",{"answer":42,"createTime":5,"id":6,"options":43,"question":19,"source":31,"type":32},[],[8,9,10,11],{"answer":45,"createTime":23,"id":46,"options":47,"question":49,"source":31,"type":32},[],193841578,[48,11,39,38],"FCM","下列选项中( )算法属于分类算法",{"answer":51,"createTime":23,"id":52,"options":53,"question":58,"source":31,"type":32},[],193841597,[54,55,56,57],"LabeledPoint","RDD","Vector","Rating","下列选项中不属于MLlib中常用的数据类型的是( )",{"answer":60,"createTime":61,"id":62,"options":63,"question":68,"source":31,"type":32},[],"2025-06-04 11:20:37",193841621,[64,65,66,67],"mean:求均值","variance:求方差","normL1:求正态分布","Statistics.corr(rdd, method):求相关系数","关于Spark MLlib的mllib.stat.Statistics类中的方法,描述错误的是( )",{"answer":70,"createTime":5,"id":71,"options":72,"question":77,"source":31,"type":32},[],193841648,[73,74,75,76],"逻辑回归算法","协同过滤算法","朴素贝叶斯算法","线性回归算法","下列选项中,( )不需要使用LabeledPoint数据类型",{"answer":79,"createTime":35,"id":80,"options":81,"question":86,"source":31,"type":32},[],193841656,[82,83,84,85],"WithMean()","Normalizer()","MinMaxScaler()","StandardScaler()","下列选项中,( )不属于数据标准化或归一化方法",{"answer":88,"createTime":35,"id":89,"options":90,"question":92,"source":31,"type":32},[],193841693,[57,56,91,54],"DStream","ALS是MLlib的一个实现推荐算法的包,需要输入的数据类型是( )",{"answer":94,"createTime":95,"id":96,"options":97,"question":102,"source":31,"type":32},[],"2025-06-04 11:20:41",193841715,[98,99,100,101],"TF-IDF算法可以将一整个文档转化成向量","TF指的是词频,IDF指的是逆文档频率","Word2Vec可以将每一个单词用K维稠密向量来表示","使用HashingTF转化数据为特征向量时,要求转换的数据是不可迭代的","关于mllib.feature中创建特征向量的方法,下列说法错误的是( )"]