Java tutorial
/** * Copyright (c) 2015 Scale Unlimited, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package com.scaleunlimited.classify.vectors; import org.apache.mahout.math.Vector; import org.apache.mahout.math.function.DoubleDoubleFunction; /** * Normalize our vector as if every count was the same. * */ @SuppressWarnings("serial") public class SetNormalizer extends BaseNormalizer { public void normalize(Vector vector) { // First count the number of non-zero values. double valueCount = vector.getNumNonZeroElements(); // Set each non-zero value to 1/count of non-zero values, so that // it's as if these all have a count of 1, so they have equal TF. vector.assign(new DoubleDoubleFunction() { @Override public double apply(double curValue, double normalizedValue) { return (curValue > 0.0 ? normalizedValue : 0); } }, 1.0 / valueCount); } }