org.apache.eagle.security.userprofile.model.UserProfileEigenModel.java Source code

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Here is the source code for org.apache.eagle.security.userprofile.model.UserProfileEigenModel.java

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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 org.apache.eagle.security.userprofile.model;

import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.linear.RealVector;
import org.apache.commons.math3.stat.descriptive.moment.Mean;
import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation;

import org.apache.eagle.security.userprofile.model.UserCommandStatistics;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.io.Serializable;

public class UserProfileEigenModel implements Serializable {
    private Long m_version;
    private String m_site;
    private String m_user;
    private RealMatrix m_uMatrix;
    private RealMatrix m_diagonalMatrix;
    private int m_dimension;
    private RealVector m_minVector;
    private RealVector m_maxVector;
    private RealVector[] m_principalComponents;
    private RealVector m_maximumL2Norm;
    private RealVector m_minimumL2Norm;
    private UserCommandStatistics[] m_statistics;

    public UserProfileEigenModel(Long version, String site, String user, RealMatrix uMatrix,
            RealMatrix diagonalMatrix, int dimension, RealVector minVector, RealVector maxVector,
            RealVector[] principalComponents, RealVector maximumL2Norm, RealVector minimumL2Norm,
            UserCommandStatistics[] statistics) {
        m_version = version;
        m_site = site;
        m_user = user;
        m_uMatrix = uMatrix;
        m_diagonalMatrix = diagonalMatrix;
        m_dimension = dimension;
        m_minVector = minVector;
        m_maxVector = maxVector;
        m_principalComponents = principalComponents;
        m_maximumL2Norm = maximumL2Norm;
        m_minimumL2Norm = minimumL2Norm;
        m_statistics = statistics;
    }

    public UserCommandStatistics[] statistics() {
        return m_statistics;
    }

    public RealVector maxProbabilityEstimate() {
        return m_maxVector;
    }

    public RealVector[] principalComponents() {
        return m_principalComponents;
    }

    public RealVector maximumL2Norm() {
        return m_maximumL2Norm;
    }

    public void print_RealVector(RealVector v) {
        double[] tmp = v.toArray();
        for (double x : tmp)
            System.out.print(" " + x);
        System.out.println(" ");
    }

    public void print_RealMatrix(RealMatrix rm) {
        double[][] m = rm.getData();
        for (double[] x : m) {
            for (double y : x)
                System.out.print(" " + y);
            System.out.println(" ");
        }
    }

    public void print() {
        System.out.println("EigenModel:" + " version:" + m_version + " site:" + m_site + " user:" + m_user
                + " dimension:" + m_dimension);

        System.out.println("UserCommandStatistics");
        for (UserCommandStatistics x : m_statistics)
            x.print();

        System.out.println("m_minVector");
        print_RealVector(m_minVector);
        System.out.println("m_maxVector");
        print_RealVector(m_maxVector);
        System.out.println("m_maximumL2Norm");
        print_RealVector(m_maximumL2Norm);
        System.out.println("m_minimumL2Norm");
        print_RealVector(m_minimumL2Norm);

        System.out.println("m_principalComponents");
        for (RealVector y : m_principalComponents)
            print_RealVector(y);

        System.out.println("m_uMatrix");
        print_RealMatrix(m_uMatrix);
        System.out.println("m_diagonalMatrix");
        print_RealMatrix(m_diagonalMatrix);
    }
}