from sklearn.svmimportSVCmodel=SVC(kernel='rbf',probability=True)param_grid={'C':[1e-3,1e-2,1e-1,1,10,100,1000],'gamma':[0.001,0.0001]}grid_search=GridSearchCV(model,param_grid,n_jobs=8,verbose=1)grid_search.fit(train_x,train_y)best_parameters=grid_search.best_estimator_.get_...
LinearRegressionModelParameters LinearSvmTrainer LinearSvmTrainer.Options LinearTrainerBase<TTransformer,TModel> LogLoss LsrDecay LsrDecay.LearningRateSchedulerItem MaximumEntropyModelParameters MetaMulticlassTrainer<TTransformer,TModel> ModelParametersBase<TOutput> ...
LdSvmModelParameters.OutputType 属性参考 反馈 本文内容 定义 适用于 定义命名空间: Microsoft.ML.Trainers 程序集: Microsoft.ML.StandardTrainers.dll 包: Microsoft.ML v1.6.0 C# 复制 public Microsoft.ML.Data.DataViewType OutputType { get; } 属性值 DataViewType 适用于 产品版本 ML.NE...
Cloud Studio代码运行 """2. 通过网格搜索寻找最优参数"""parameters={'gamma':np.linspace(0.0001,0.1),'kernel':['linear','poly','rbf','sigmoid'],}model=svm.SVC()grid_model=GridSearchCV(model,parameters,cv=10,return_train_score=True)grid_model.fit(X_train,y_train)# 用测试集做预测 pred...
append(float(lineArr[2])) #添加标签 return dataMat,labelMat """ 函数说明:随机选择alpha Parameters: i - alpha m - alpha参数个数 Returns: j - """ def selectJrand(i, m): j = i #选择一个不等于i的j while (j == i): j = int(random.uniform(0, m)) return j """ 函数说明:...
train_model =svm.SVC() # 构建分类器 gird_search = GridSearchCV( pipe, parameters, cv...
matlab里的svmtrain的输出model里,各参数的含义 Parameters: [5x1 double] %结构体变量,依次保存的是 -s -t -d -g -r等参数 nr_class: 4 %分类的个数 totalSV: 39 %总的支持向量个数 rho: [6x1 double] %b=-model.rho Label: [4x1 double]...
model =Parameters: [5x1double] nr_class:2totalSV:259rho:0.0514Label: [2x1double] ProbA: [] ProbB: [] nSV: [2x1double] sv_coef: [259x1double] SVs: [259x13double] Accuracy=99.6296% (269/270) (classification) accuracy=99.62960.01480.9851Elapsed timeis0.040155seconds. ...
model=svm.SVC() grid_model=GridSearchCV(model,parameters,cv=10,return_train_score=True) grid_model.fit(X_train,y_train) # 用测试集做预测 pred_label=grid_model.predict(X_test) print('准确率: ',metrics.accuracy_score(pred_label,y_test)) ...
Zhang H, Wang YJ, Li YF (2009) SVM model for estimating the parameters of the probability-integral method of predicting mining subsidence. Min Sci Tech 19:0385-0388H. Zhang, Y. J. Wang and Y. F.Li,"SVM model for estimating the parameters of the probability-integral method of predicting...