dataY,namuta=10) Ein=zero_one_cost(pred(wREG,dataX),dataY) print("the Ein on the train set: ",Ein) # test testX,testY=read_data("hw4_test.dat") Eout=zero_one_cost(pred(wREG,testX),testY) print("the Eout on the test set: "...
ifnotdata_augmentation:print('Not using data augmentation.')model.fit(X_train,Y_train,batch_size=batch_size,nb_epoch=nb_epoch,show_accuracy=True,validation_data=(X_test,Y_test),shuffle=True)else:print('Using real-time data augmentation.') ...
deftransform(self, X):# Purpose of skip is to skip the estimatorifself.skip:returnX# Is the data being transformed the same as the training datais_train_data =Falseifisinstance(X, pd.DataFrame)andself.hashed_value == hash(X.values.data.tobytes()): is_train_data =Trueifisinstance(X,...
tensorboard_verbose=0)model.fit(trainX,trainY,n_epoch=20,validation_set=(testX,testY),show_metric=True,batch_size=256,snapshot_epoch=1,shuffle=True,run_id="dense_model{}".format(i))Y_pred=np.append(Y_pred,np.reshape(np.mean(model.predict(testX),axis=0), (1,5)),axis=...
# 需要导入模块: from sandbox.util.Sampling import Sampling [as 别名]# 或者: from sandbox.util.Sampling.Sampling importcrossValidation[as 别名]deftestParallelPen(self):#Check if penalisation == inf when treeSize < gammanumExamples =100X, y = data.make_regression(numExamples) ...
开发者ID:adammendoza,项目名称:scikit-learn,代码行数:34,代码来源:test_ranking.py 示例3: reduce_data ▲点赞 4▼ defreduce_data(self, X, y):X, y =check_arrays(X, y, sparse_format="csr")ifself.classifier ==None: self.classifier = KNeighborsClassifier(n_neighbors=self.n_neighbors) ...