public final double[] readDoubleEndian(int len) throws IOException { double[] ret = new double[len]; for (int i = 0; i < len; i++) ret[i] = readDoubleEndian(); return ret; }
public final double[] readDoubleEndian(int len) throws IOException { double[] ret = new double[len]; for (int i = 0; i < len; i++) ret[i] = readDoubleEndian(); return ret; }
meanVector = stream.readDoubleEndian(tmpLen); else meanVector = null; tmpLen2 = stream.readIntEndian(); if (tmpLen2 > 0) covMatrix[i] = stream.readDoubleEndian(tmpLen2); else covMatrix[i] = null; tmpLen2 = stream.readIntEndian(); if (tmpLen2 > 0) invCovMatrix[i] = stream.readDoubleEndian(tmpLen2); else invCovMatrix[i] = null; invCovMatrix = null; detCovMatrix = stream.readDoubleEndian(); constantTerm = stream.readDoubleEndian(); constantTermLog = stream.readDoubleEndian();
meanVector = stream.readDoubleEndian(tmpLen); else meanVector = null; tmpLen2 = stream.readIntEndian(); if (tmpLen2 > 0) covMatrix[i] = stream.readDoubleEndian(tmpLen2); else covMatrix[i] = null; tmpLen2 = stream.readIntEndian(); if (tmpLen2 > 0) invCovMatrix[i] = stream.readDoubleEndian(tmpLen2); else invCovMatrix[i] = null; invCovMatrix = null; detCovMatrix = stream.readDoubleEndian(); constantTerm = stream.readDoubleEndian(); constantTermLog = stream.readDoubleEndian();
for (int i = 0; i < numVectors; i++) { try { vectors[i] = fp.readDoubleEndian(dimension); } catch (IOException e) {
for (int i = 0; i < numVectors; i++) { try { vectors[i] = fp.readDoubleEndian(dimension); } catch (IOException e) {
public void read(MaryRandomAccessFile stream) throws IOException { featureDimension = stream.readIntEndian(); totalComponents = stream.readIntEndian(); isDiagonalCovariance = stream.readBooleanEndian(); int tmpLen = stream.readIntEndian(); if (tmpLen > 0) info = String.copyValueOf(stream.readCharEndian(tmpLen)); weights = stream.readDoubleEndian(totalComponents); components = new GaussianComponent[totalComponents]; for (int i = 0; i < totalComponents; i++) { components[i] = new GaussianComponent(); components[i].read(stream); } } }
public void read(MaryRandomAccessFile stream) throws IOException { featureDimension = stream.readIntEndian(); totalComponents = stream.readIntEndian(); isDiagonalCovariance = stream.readBooleanEndian(); int tmpLen = stream.readIntEndian(); if (tmpLen > 0) info = String.copyValueOf(stream.readCharEndian(tmpLen)); weights = stream.readDoubleEndian(totalComponents); components = new GaussianComponent[totalComponents]; for (int i = 0; i < totalComponents; i++) { components[i] = new GaussianComponent(); components[i].read(stream); } } }
s2 = fp2.readShortEndian(); i2 = fp2.readIntEndian(); d2 = fp2.readDoubleEndian(); f2 = fp2.readFloatEndian(); l2 = fp2.readLongEndian();
s2 = fp2.readShortEndian(); i2 = fp2.readIntEndian(); d2 = fp2.readDoubleEndian(); f2 = fp2.readFloatEndian(); l2 = fp2.readLongEndian();