@Override public void readFields(DataInput in) throws IOException { int flags = in.readByte(); int size = Varint.readUnsignedVarInt(in); readFields(in, (byte) flags, size); }
public static Vector readVector(DataInput in, byte vectorFlags, int size) throws IOException { VectorWritable v = new VectorWritable(); v.readFields(in, vectorFlags, size); return v.get(); }
public static Vector readVector(DataInput in) throws IOException { VectorWritable v = new VectorWritable(); v.readFields(in); return v.get(); }
@Override public void readFields(DataInput in) throws IOException { vectorWritable.readFields(in); weight = in.readDouble(); }
@Override public void readFields(DataInput in) throws IOException { vectorWritable.readFields(in); weight = in.readDouble(); }
@Override public void readFields(DataInput in) throws IOException { vectorWritable.readFields(in); weight = in.readDouble(); }
@Override public void readFields(DataInput in) throws IOException { vectorWritable.readFields(in); int labelSize = in.readInt(); labels = new int[labelSize]; for (int i = 0; i < labelSize; i++) { labels[i] = in.readInt(); } }
@Override public void readFields(DataInput in) throws IOException { vectorWritable.readFields(in); int labelSize = in.readInt(); labels = new int[labelSize]; for (int i = 0; i < labelSize; i++) { labels[i] = in.readInt(); } }
@Override public void readFields(DataInput in) throws IOException { int flags = in.readByte(); int size = Varint.readUnsignedVarInt(in); readFields(in, (byte) flags, size); }
@Override public void readFields(DataInput in) throws IOException { prefValue = in.readFloat(); VectorWritable vw = new VectorWritable(); vw.readFields(in); similarityColumn = vw.get(); }
@Override public void readFields(DataInput in) throws IOException { prefValue = in.readFloat(); VectorWritable vw = new VectorWritable(); vw.readFields(in); similarityColumn = vw.get(); }
@Override public void readFields(DataInput in) throws IOException { prefValue = in.readFloat(); VectorWritable vw = new VectorWritable(); vw.readFields(in); similarityColumn = vw.get(); }
@Override public void readFields(DataInput in) throws IOException { VectorWritable writable = new VectorWritable(); writable.readFields(in); vector = writable.get(); int size = Varint.readUnsignedVarInt(in); userIDs = Lists.newArrayListWithCapacity(size); values = Lists.newArrayListWithCapacity(size); for (int i = 0; i < size; i++) { userIDs.add(Varint.readSignedVarLong(in)); values.add(in.readFloat()); } }
public static Vector readVector(DataInput in) throws IOException { VectorWritable v = new VectorWritable(); v.readFields(in); return v.get(); }
public static Vector readVector(DataInput in) throws IOException { VectorWritable v = new VectorWritable(); v.readFields(in); return v.get(); }
public static Vector readVector(DataInput in) throws IOException { VectorWritable v = new VectorWritable(); v.readFields(in); return v.get(); }
public static Vector readVector(DataInput in, byte vectorFlags, int size) throws IOException { VectorWritable v = new VectorWritable(); v.readFields(in, vectorFlags, size); return v.get(); }
static HmmModel deserialize(DataInput input) throws IOException { MatrixWritable matrix = new MatrixWritable(); matrix.readFields(input); Matrix emissionMatrix = matrix.get(); matrix.readFields(input); Matrix transitionMatrix = matrix.get(); VectorWritable vector = new VectorWritable(); vector.readFields(input); Vector initialProbabilities = vector.get(); return new HmmModel(transitionMatrix, emissionMatrix, initialProbabilities); }
static HmmModel deserialize(DataInput input) throws IOException { MatrixWritable matrix = new MatrixWritable(); matrix.readFields(input); Matrix emissionMatrix = matrix.get(); matrix.readFields(input); Matrix transitionMatrix = matrix.get(); VectorWritable vector = new VectorWritable(); vector.readFields(input); Vector initialProbabilities = vector.get(); return new HmmModel(transitionMatrix, emissionMatrix, initialProbabilities); }
static HmmModel deserialize(DataInput input) throws IOException { MatrixWritable matrix = new MatrixWritable(); matrix.readFields(input); Matrix emissionMatrix = matrix.get(); matrix.readFields(input); Matrix transitionMatrix = matrix.get(); VectorWritable vector = new VectorWritable(); vector.readFields(input); Vector initialProbabilities = vector.get(); return new HmmModel(transitionMatrix, emissionMatrix, initialProbabilities); }