/// <summary>
///
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
void _experimentPanel_DataLoaded(object sender, EventArgs e)
{
//Depending on experimental type of output data (numerical or categorical or boolean)
// prepare the panels for parameters and type of the factory.
if (_GPModel == GPModelType.ANNMODEL)
{
//create facotry based on column data type
if (_experimentPanel.IsCategoricalOutput)
{
this._mainANNFactory = new PSOFactory();
}
else
{
this._mainANNFactory = new BPFactory();
}
//
if (_setANNPanel == null)
{
_setANNPanel = new ANNSettingsPanel();
loadGPPanelInMainWindow(this, _setANNPanel, "Settings");
//lock some parameters based on type of output variable
if (_experimentPanel.Experiment.GetOutputColumnType() == Core.Experiment.ColumnDataType.Binary ||
_experimentPanel.Experiment.GetOutputColumnType() == Core.Experiment.ColumnDataType.Categorical
)
{
_setANNPanel.SetLearnigAlgorithm(1);
}
else
{
_setANNPanel.SetLearnigAlgorithm(0);
}
_setANNPanel.LockLearningAlgoritm();
}
if (_runANNPanel == null)
{
_runANNPanel = new ANNRunPanel();
loadGPPanelInMainWindow(this, _runANNPanel, "Modeling");
}
if (_infoPanel == null)
{
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
}
if (_runANNPanel != null)
{
this._mainANNFactory.ReportIteration += new EvolutionHandler(annFactory_ReportIteration);
_runANNPanel.UpdateChartDataPoint(_experimentPanel.GetOutputValues(), false);
_isFileDirty = true;
}
}
else//Preparing GP for modelling nd prediction
{
//create facotry based on column data type
if (_experimentPanel.IsBinarylOutput || _experimentPanel.IsCategoricalOutput)
{
this._mainGPFactory = new GPFactoryClass();
}
else if (_experimentPanel.GetOutputColumnType() == Core.Experiment.ColumnDataType.Numeric)
{
this._mainGPFactory = new GPFactory();
}
else
{
throw new Exception("Unknown output value type!");
}
if (_funPanel == null)
{
_funPanel = new FunctionPanel();
loadGPPanelInMainWindow(this, _funPanel, "Functions");
}
if (_setPanel == null)
{
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
}
//set problem type
_setPanel.SetParamForClassification(_experimentPanel.GetOutputColumnType());
if (_runPanel == null)
{
_runPanel = new RunPanel();
loadGPPanelInMainWindow(this, _runPanel, "Run");
}
if (_resultPanel == null)
{
_resultPanel = new ResultPanel();
loadGPPanelInMainWindow(this, _resultPanel, "Result");
}
if (_infoPanel == null)
{
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
}
//set base run panel on _runPAnel
_baseRunPanel = _runPanel;
if (_runPanel != null)
{
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
_runPanel.ResetSolution();
_runPanel.UpdateChartDataPoint(_experimentPanel.GetOutputValues(), false);
_isFileDirty = true;
}
if (_funDefinit != null)
{
_funDefinit.btnFinishAnalFun.Click += btnFinishAnalFun_Click;
}
if (_setPanel != null)
{
_setPanel.ResetSolution += _setPanel_ResetSolution;
}
}
}
