本文整理汇总了C++中grt::MLP::train方法的典型用法代码示例。如果您正苦于以下问题：C++ MLP::train方法的具体用法？C++ MLP::train怎么用？C++ MLP::train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grt::MLP的用法示例。
在下文中一共展示了MLP::train方法的1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: train
// Methods
// NOTE: ANN is special since it supports both regression and classification, we therefore override these methods
void ann::train()
{
const data_type data_type = get_data_type();
GRT::UINT numSamples = data_type == LABELLED_CLASSIFICATION ? classification_data.getNumSamples() : regression_data.getNumSamples();
if (numSamples == 0)
{
flext::error("no observations added, use 'add' to add training data");
return;
}
bool success = false;
if (data_type == LABELLED_CLASSIFICATION)
{
grt_ann.init(
classification_data.getNumDimensions(),
num_hidden_neurons,
classification_data.getNumClasses(),
input_activation_function,
hidden_activation_function,
output_activation_function
);
success = grt_ann.train(classification_data);
}
else if (data_type == LABELLED_REGRESSION)
{
grt_ann.init(
regression_data.getNumInputDimensions(),
num_hidden_neurons,
regression_data.getNumTargetDimensions(),
input_activation_function,
hidden_activation_function,
output_activation_function
);
success = grt_ann.train(regression_data);
}
if (!success)
{
flext::error("training failed");
}
t_atom a_success;
SetInt(a_success, success);
ToOutAnything(1, get_s_train(), 1, &a_success);
}