从0 实现多分类SVM(Python)|向量|算法|svm|python_网易订阅

returnnp.argmax(preds,axis=1),np.max(preds,axis=1)完整测试代码:fromsklearn.datasetsimportmake_classificationimportnumpyasnp#Loadthedatasetnp.random.seed(1)X,y=make_classification(n_samples=500,n_features=2,n_redundant=0,n_informative=2,n_classes=4,n_...

MADQN:多代理合作强化学习|算法|madqn|agent_网易订阅

returnq_values.argmax().item()defsoft_update(self):fortarget_param,policy_paraminzip(self.target_network.parameters(),self.policy_network.parameters()):target_param.data.copy_(self.tau*policy_param.data+(1-self.tau)*target_param.data)deftrain(self,batch_size=...

三个主要降维技术对比介绍:PCA, LCA,SVD

cumulative_variance_ratio=np.cumsum(pca.explained_variance_ratio_)#Determinethenumberofcomponentstokeepfor85%varianceexplainedn_components=np.argmax(cumulative_variance_ratio>=0.85)+1#ApplyPCAwiththeselectednumberofcomponentspca=PCA(n_components=n_components...

CAM, Grad-CAM, Grad-CAM++可视化CNN方式的代码实现和对比

cls=np.argmax(input_model.predict(image))#Obtainthepredictedclassconv_output=input_model.get_layer(layer_name).output#Gettheweightsofthelastoutputlayerlast_conv_layer_model=keras.Model(input_model.inputs,conv_output)#Createamodelwiththelastoutputlayercl...

7个流行的强化学习算法及代码实现

action=np.argmax(Q[current_state])#Taketheactionandobservethenextstateandrewardnext_state,reward,done=take_action(current_state,action)#UpdatetheQ-tableusingtheBellmanequationQ[current_state,action]=Q[current_state,action]+alpha*(reward+gamma...

10万元奖金,开启“智源粒子分类赛”下半时,三篇高分Baseline带你...

y_score=lbr.transform(np.argmax(oof_pred,axis=1)),average='macro'))#以喷注为主体重新计算AUCevent_pred=train_event[['event_id']]event_pred['pred']=np.argmax(oof_pred,axis=1)jet_pred=train_jet[['event_id']].merge(event_pred,'left','event_id')['pred']...

史上最全 OpenCV 活体检测教程!

i=np.argmax(detections[0,0,:,2])confidence=detections[0,0,i,2]为了执行人脸检测,我们需要根据图像创建一个二进制大对象数据(blob)(第53和54行)。为了适应于Caffe人脸检测器,这个「blob」的宽、高为300*300。稍后还需要对边界框进行放缩,因此在第52行中,我们会抓取到帧...

详解蒙特卡洛方法:这些数学你搞懂了吗?

ifaction==np.argmax(self.Q[state]):return1return0elifself._act_rep=="dict":ifaction==max(self.Q[state],key=self.Q[state].get):return1return0defb(self,action,state):"""b(a,s,A):=b(a|s)Sometimesyoucanonlyuseasubsetoftheactionspace...

使用Python从零实现多分类SVM|向量|算法|svm|python_网易订阅

self.margin_sv=np.argmax((0<self.αs-1e-3)&(self.αs<self.C-1e-3))ifeval_train:print(f"Finishedtrainingwithaccuracy{self.evaluate(X,y)}")我们确保这是一个二进制问题,并且二进制标签按照支持向量机(±1)的假设设置,并且y是一个维数为(N,1)的列向量。然后求解求解(α...

微调LayoutLM v3进行票据数据的处理和内容识别

importnumpyasnpreturn_entity_level_metrics=Falsedefcompute_metrics(p):predictions,labels=ppredictions=np.argmax(predictions,axis=2)true_predictions=[[label_list[p]for(p,l)inzip(prediction,label)ifl!=-100]...