public BayesDecider( string fname, string outcomeName )
{
dataPath = Application.dataPath + "/Data/" + fname;
outcomeAction = new BayesAction( outcomeName );
ReadObsTab();
}
public BayesDecider(string fname, string outcomeName)
{
dataPath = Application.dataPath + "/Data/" + fname;
outcomeAction = new BayesAction(outcomeName);
ReadObsTab();
}
/*public BayesContinuousCondition( int[] sum, int[] sumSq )
* {
* m_sum = sum;
* m_sumSq = sumSq;
* }*/
public void Init(BayesAction outcome)
{
int length = m_sum.Length;
for (int i = 0; i < length; i++)
{
m_mean[i] = Mean(m_sum[i], outcome.GetCounts()[i]);
m_stdDev[i] = StdDev(m_sumSq[i], m_sum[i], outcome.GetCount(i));
}
}
/*public BayesContinuousCondition( int[] sum, int[] sumSq )
{
m_sum = sum;
m_sumSq = sumSq;
}*/
public void Init( BayesAction outcome )
{
int length = m_sum.Length;
for( int i = 0; i < length; i++ )
{
m_mean[ i ] = Mean( m_sum[ i ], outcome.GetCounts()[ i ] );
m_stdDev[ i ] = StdDev( m_sumSq[ i ], m_sum[ i ], outcome.GetCount( i ) );
}
}
public void CalcProps(BayesAction outcome)
{
int[] n = outcome.GetCounts();
for (int i = 0; i < m_counts.GetLength(0); i++)
{
for (int j = 0; j < m_counts.GetLength(1); j++)
{
// Detects and corrects a 0 count by assigning a proportion
// that is 1/10 the size of a proportion for a count of 1
if (m_counts[i, j] == 0)
{
m_proportions[i, j] = 0.1d / n[j]; // Can't have 0
}
else
{
m_proportions[i, j] = (double)m_counts[i, j] / n[j];
}
}
}
}
public void CalcProps( BayesAction outcome )
{
int[] n = outcome.GetCounts();
for (int i = 0; i < m_counts.GetLength( 0 ); i++ )
{
for( int j = 0; j < m_counts.GetLength( 1 ); j++ )
{
// Detects and corrects a 0 count by assigning a proportion
// that is 1/10 the size of a proportion for a count of 1
if ( m_counts[ i, j ] == 0 )
{
m_proportions[ i, j ] = 0.1d / n[ j ]; // Can't have 0
}
else
{
m_proportions[ i, j ] = (double)m_counts[ i, j ] / n[ j ];
}
}
}
}
