本文整理汇总了C++中VectorXd::unaryExpr方法的典型用法代码示例。如果您正苦于以下问题：C++ VectorXd::unaryExpr方法的具体用法？C++ VectorXd::unaryExpr怎么用？C++ VectorXd::unaryExpr使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类VectorXd的用法示例。
在下文中一共展示了VectorXd::unaryExpr方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: trainGP
bool CVarianceDecomposition::trainGP()
{
bool conv = false;
// initGP if is not init
if (this->is_init==0) this->initGP();
//train GP
conv = this->opt->opt();
//check convergence
VectorXd scales;
this->agetScales(&scales);
conv &= (scales.unaryExpr(std::bind2nd( std::ptr_fun<double,double,double>(pow), 2) ).maxCoeff()<(mfloat_t)10.0);
return conv;
}示例2: FireSingleLayer
VectorXd LayeredFeedForwardNeuralNet::FireSingleLayer(const VectorXd& inputActivations, long layerIndex) const
{
// get layer input weights (also checks valid layerIndex)
const MatrixXd& layerInputWeights = GetLayerInputWeights(layerIndex);
if (layerInputWeights.cols() - 1 != inputActivations.size())
{
// input is invalid for this neural net topology
throw NeuralNetTopologyMismatch("activation input must match number of units in neural network layer");
}
// get the activation function
auto expressionParser = UnaryExpressionParserFactory::CreateParser();
UnaryFunction activationFunction = expressionParser->GetFunctionForExpression(m_activationFunction);
// bias activation
VectorXd bias(1);
bias << -1.0;
// calculate layer net inputs
VectorXd inputPlusBias(layerInputWeights.cols());
inputPlusBias << inputActivations, bias;
//std::cout << "layer " << layerIndex << " input activations +bias : " << std::endl << inputPlusBias << std::endl << std::endl;
//std::cout << "layer " << layerIndex << " input weights : " << std::endl << layerInputWeights << std::endl << std::endl;
VectorXd layerNetInputs = layerInputWeights * inputPlusBias;
//std::cout << "layer " << layerIndex << " net inputs : " << std::endl << layerNetInputs << std::endl << std::endl;
// calculate layer activations
VectorXd layerActivations = layerNetInputs.unaryExpr(activationFunction);
//std::cout << "layer " << layerIndex << " output activations : " << layerActivations << std::endl << std::endl;
return layerActivations;
}示例3: sgm
VectorXd D_P_ANN_Controller::sgm(VectorXd x){
VectorXd W_in;
W_in=x.unaryExpr(std::ptr_fun(sigmoid));
if(thresholdNo) W_in(0)=1;
return W_in;
}