/**
* Called to initialize the structural anatomy with configured values and prepare the anatomical
* entities for activation.
*
* @param c
*/
public void initMatrices(final Connections c) {
SparseObjectMatrix<Column> mem = c.getMemory();
c.setMemory(mem == null ? mem = new SparseObjectMatrix<>(c.getColumnDimensions()) : mem);
c.setInputMatrix(new SparseBinaryMatrix(c.getInputDimensions()));
// Calculate numInputs and numColumns
int numInputs = c.getInputMatrix().getMaxIndex() + 1;
int numColumns = c.getMemory().getMaxIndex() + 1;
if (numColumns <= 0) {
throw new InvalidSPParamValueException("Invalid number of columns: " + numColumns);
}
if (numInputs <= 0) {
throw new InvalidSPParamValueException("Invalid number of inputs: " + numInputs);
}
c.setNumInputs(numInputs);
c.setNumColumns(numColumns);
// Fill the sparse matrix with column objects
for (int i = 0; i < numColumns; i++) {
mem.set(i, new Column(c.getCellsPerColumn(), i));
}
c.setPotentialPools(new SparseObjectMatrix<Pool>(c.getMemory().getDimensions()));
c.setConnectedMatrix(new SparseBinaryMatrix(new int[] {numColumns, numInputs}));
// Initialize state meta-management statistics
c.setOverlapDutyCycles(new double[numColumns]);
c.setActiveDutyCycles(new double[numColumns]);
c.setMinOverlapDutyCycles(new double[numColumns]);
c.setMinActiveDutyCycles(new double[numColumns]);
c.setBoostFactors(new double[numColumns]);
Arrays.fill(c.getBoostFactors(), 1);
}
