/// <summary>
/// Accion que se produce cuando se elimina un elemento.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
void removeMenuItem_Click(object sender, EventArgs e)
{
MenuItem item = sender as MenuItem;
BayesianNodeChartElement element = ((BayesianNodeChartElement)item.Tag);
this.Charts.Remove(element);
}
public FrProbabilityData(IEnumerable <KeyValuePair <BayesianNodeChartElement, List <StringWraper> > > parent_states,
List <StringWraper> mystates, BayesianNodeChartElement element)
{
InitializeComponent();
if (element == null)
{
throw new ArgumentNullException("element can not be null");
}
datagridProbabilities.Columns.Clear();
datagridProbabilities.Rows.Clear();
int parents = 0;
//relleno las casillas de los estados de los padres
foreach (var item in parent_states)
{
datagridProbabilities.Columns.Add(item.Key.Name, item.Key.Name);
parents++;
}
int index = 0;
FirstIndex = -1;
foreach (var item in mystates)
{
index = datagridProbabilities.Columns.Add(item, element.Name + " :" + item);
if (FirstIndex == -1)
{
FirstIndex = index;
}
}
ParentStates = parent_states.Select(x => x.Value.Count()).ToArray();
Mystates = mystates.Count;
datagridProbabilities.Rows.Add(ParentStates.Aggregate(1, (x, y) => x * y));
int row = 0;
CreateParentInstances(parent_states.Select(x => x.Value).ToArray(), 0, new StringWraper[parents], ref row);
if (element.Condicional_Probabilities != null)
{
//si ya tiene probabilidades entonces las pongo el el data grid para su edicion o visualizacion
for (int j = FirstIndex; j < datagridProbabilities.Columns.Count; j++)
{
for (int i = 0; i < datagridProbabilities.Rows.Count; i++)
{
datagridProbabilities[j, i].Value =
element.Condicional_Probabilities[(j - FirstIndex) * datagridProbabilities.Rows.Count + i];
}
}
}
Probabilities = element.Condicional_Probabilities;
}
public override ChartElement Build()
{
BayesianNodeChartElement node = new BayesianNodeChartElement();
node.Name = "BayesianNode" + BayesianNodeChartElement.Num_Node;
node.PinSize = new Size(5, 5);
node.BackColor = Color.Snow;
node.Display = new Rectangle(Center.X - 100, Center.Y - 20, 110, 25);
node.ShowOutputPins = false;
node.ShowInputPins = false;
return(node);
}
public FrProbabilityData(IEnumerable<KeyValuePair<BayesianNodeChartElement,List<StringWraper>>> parent_states,
List<StringWraper> mystates,BayesianNodeChartElement element)
{
InitializeComponent();
if(element==null)throw new ArgumentNullException("element can not be null");
datagridProbabilities.Columns.Clear();
datagridProbabilities.Rows.Clear();
int parents=0;
//relleno las casillas de los estados de los padres
foreach (var item in parent_states)
{
datagridProbabilities.Columns.Add(item.Key.Name, item.Key.Name);
parents++;
}
int index = 0;
FirstIndex = -1;
foreach (var item in mystates)
{
index= datagridProbabilities.Columns.Add(item,element.Name+" :" + item);
if (FirstIndex == -1) FirstIndex = index;
}
ParentStates = parent_states.Select(x => x.Value.Count()).ToArray();
Mystates = mystates.Count;
datagridProbabilities.Rows.Add(ParentStates.Aggregate(1,(x, y) => x*y));
int row = 0;
CreateParentInstances(parent_states.Select(x=>x.Value).ToArray(),0,new StringWraper[parents],ref row);
if(element.Condicional_Probabilities!=null)
{
//si ya tiene probabilidades entonces las pongo el el data grid para su edicion o visualizacion
for (int j = FirstIndex; j < datagridProbabilities.Columns.Count; j++)
{
for (int i = 0; i < datagridProbabilities.Rows.Count; i++)
{
datagridProbabilities[j, i].Value =
element.Condicional_Probabilities[(j-FirstIndex)*datagridProbabilities.Rows.Count + i];
}
}
}
Probabilities = element.Condicional_Probabilities;
}
public override ChartElement Build()
{
BayesianNodeChartElement node = new BayesianNodeChartElement();
node.Name = "BayesianNode" + BayesianNodeChartElement.Num_Node;
node.PinSize = new Size(5, 5);
node.BackColor = Color.Snow;
node.Display = new Rectangle(Center.X - 100, Center.Y - 20, 110, 25);
node.ShowOutputPins = false;
node.ShowInputPins = false;
return node;
}
