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.* | ||
*~ | ||
target/* | ||
*.class | ||
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# Package Files # | ||
*.jar | ||
*.war | ||
*.ear | ||
bin/ | ||
build/ | ||
.project | ||
.idea/ | ||
*.iml |
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This software is based upon or includes certain works and algorithms related | ||
to hierarchical temporal memory ("HTM") technology published by Numenta Inc. | ||
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Numenta holds patent rights related to HTM and the algorithms used in this | ||
software. | ||
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Numenta has agreed not to assert its patent rights against | ||
development or use of independent HTM systems, as long as such development | ||
or use is for research purposes only, and not for any commercial or production | ||
use. | ||
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Any commercial or production use of HTM technology that infringes on | ||
Numenta's patents will require a commercial license from Numenta. | ||
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Based on the foregoing, this software is licensed under the terms below, for | ||
research purposes only and not for any commercial or production use. | ||
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Numenta License for Non-Commercial Use: | ||
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For | ||
purposes of this license, "commercial or production use" includes training an | ||
HTM network with the intent of later deploying the trained network or | ||
application for commercial or production purposes, and using or permitting | ||
others to use the output from HTM technology for commercial or production | ||
purposes. | ||
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Redistribution and use in source and binary forms, with or without | ||
modification, are permitted (subject to the limitations in the disclaimer | ||
below) provided that the following conditions are met: | ||
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* Redistributions of source code, including any modifications or derivative | ||
works, must retain the full text of this license and the following disclaimer, | ||
and be subject to the terms and conditions of this license. | ||
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* Redistributions in binary form, including any modifications or derivative | ||
works, must reproduce the full text of this license and the following | ||
disclaimer in the documentation and/or other materials provided with the | ||
distribution, and be subject to the terms and conditions of this license. | ||
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* Neither the name of Numenta, Inc., Barry Maturkanich, nor the names of other | ||
contributors may be used to endorse or promote products derived from this | ||
software without specific prior written permission. | ||
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NO EXPRESS OR IMPLIED LICENSES TO ANY PATENT RIGHTS ARE GRANTED BY THIS | ||
LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | ||
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, | ||
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | ||
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE | ||
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | ||
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR | ||
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, | ||
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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htm-visualizer | ||
============== | ||
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HTM Cortical Learning Algorithm visualizer in JAVA | ||
Visualization of Hiearchical temporal memory (HTM) cortical learning algorithms (CLA) in JAVA | ||
Implementation is based on Numenta's CLA white paper: | ||
https://www.groksolutions.com/htm-overview/education/HTM_CorticalLearningAlgorithms.pdf | ||
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> | ||
<modelVersion>4.0.0</modelVersion> | ||
<groupId>htm</groupId> | ||
<artifactId>htm-visualizer</artifactId> | ||
<packaging>jar</packaging> | ||
<version>1.0</version> | ||
<name>HTM-CLA Visualizer</name> | ||
<dependencies> | ||
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<dependency> | ||
<groupId>log4j</groupId> | ||
<artifactId>log4j</artifactId> | ||
<version>1.2.9</version> | ||
<scope>runtime</scope> | ||
</dependency> | ||
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<dependency> | ||
<groupId>commons-logging</groupId> | ||
<artifactId>commons-logging</artifactId> | ||
<version>1.1.3</version> | ||
</dependency> | ||
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<dependency> | ||
<groupId>junit</groupId> | ||
<artifactId>junit</artifactId> | ||
<version>3.8.1</version> | ||
<scope>test</scope> | ||
</dependency> | ||
</dependencies> | ||
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<build> | ||
<plugins> | ||
<plugin> | ||
<groupId>org.apache.maven.plugins</groupId> | ||
<artifactId>maven-compiler-plugin</artifactId> | ||
<configuration> | ||
<source>1.6</source> | ||
<target>1.6</target> | ||
</configuration> | ||
</plugin> | ||
<plugin> | ||
<artifactId>maven-assembly-plugin</artifactId> | ||
<executions> | ||
<execution> | ||
<id>jar-assembly</id> | ||
<phase>package</phase> | ||
<goals> | ||
<goal>single</goal> | ||
</goals> | ||
<configuration> | ||
<archive> | ||
<manifestEntries> | ||
<Main-Class>peacetech.gao.locator.adconversion.ConversionRunner</Main-Class> | ||
<Implementation-Title>${project.description}</Implementation-Title> | ||
<Implementation-Version>${project.version}</Implementation-Version> | ||
</manifestEntries> | ||
</archive> | ||
<descriptorRefs> | ||
<descriptorRef>jar-with-dependencies</descriptorRef> | ||
</descriptorRefs> | ||
</configuration> | ||
</execution> | ||
<execution> | ||
<id>distribution-assembly</id> | ||
<phase>package</phase> | ||
<goals> | ||
<goal>single</goal> | ||
</goals> | ||
<configuration> | ||
<descriptors> | ||
<descriptor>src/main/assembly/distribution.xml</descriptor> | ||
</descriptors> | ||
</configuration> | ||
</execution> | ||
</executions> | ||
</plugin> | ||
<plugin> | ||
<artifactId>maven-source-plugin</artifactId> | ||
</plugin> | ||
</plugins> | ||
</build> | ||
</project> |
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java -classpath "lib\commons-logging-1.1.3.jar;lib\log4j-1.2.9.jar;htm-visualizer.jar" htm.visualizer.Viewer | ||
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<assembly> | ||
<id>dist</id> | ||
<includeBaseDirectory>false</includeBaseDirectory> | ||
<formats> | ||
<format>zip</format> | ||
</formats> | ||
<files> | ||
<file> | ||
<source>target/${project.build.finalName}.jar</source> | ||
<destName>htm-visualizer.jar</destName> | ||
<fileMode>0644</fileMode> | ||
</file> | ||
<file> | ||
<source>run.bat</source> | ||
<destName>run.bat</destName> | ||
<filtered>true</filtered> | ||
<fileMode>0644</fileMode> | ||
</file> | ||
</files> | ||
<dependencySets> | ||
<dependencySet> | ||
<outputDirectory>/lib</outputDirectory> | ||
<excludes> | ||
<exclude>htm:htm-visualizer</exclude> | ||
</excludes> | ||
</dependencySet> | ||
</dependencySets> | ||
</assembly> |
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/** | ||
* Copyright (c) 2011, Peace Technology, Inc. | ||
* $Author:$ | ||
* $Revision:$ | ||
* $Date:$ | ||
* $NoKeywords$ | ||
*/ | ||
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package htm.model; | ||
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import htm.visualizer.utils.CircularArrayList; | ||
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public class Cell { | ||
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public static final int ACTIVE_STATE = 1; | ||
public static final int LEARN_STATE = 2; | ||
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public static final int BEFORE = 1; | ||
public static final int NOW = 0; | ||
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/** | ||
* cell will keep a buffer of its last TIME_STEPS output values | ||
*/ | ||
private static int TIME_STEPS = 2; | ||
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private final Column belongsToColumn; | ||
private final int cellIndex; | ||
/** | ||
* Boolean vector of Cell's active state in time t-n, ..., t-1, t | ||
*/ | ||
private CellStateBuffer activeState = new CellStateBuffer(); | ||
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/** | ||
* Boolean vector of Cell's predictive state in time t-n, ..., t-1, t | ||
*/ | ||
private CellStateBuffer predictiveState = new CellStateBuffer(); | ||
/** | ||
* learnState(c, i, t) A boolean indicating whether cell i in column c is | ||
* chosen as the cell to learn on. | ||
*/ | ||
private CellStateBuffer learnState = new CellStateBuffer(); | ||
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public Cell(Column belongsToColumn, int cellIndex) { | ||
this.belongsToColumn = belongsToColumn; | ||
this.cellIndex = cellIndex; | ||
} | ||
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/* | ||
*Set Learn State in current time Cell.NOW | ||
*/ | ||
public void setLearnState(boolean learnState) { | ||
this.learnState.setState(learnState); | ||
} | ||
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/** | ||
* Get Learn state in Time | ||
* | ||
* @param time | ||
*/ | ||
public boolean getLearnState(int time) { | ||
return this.learnState.get(time); | ||
} | ||
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/** | ||
* Set active state | ||
*/ | ||
public void setActiveState(boolean activeState) { | ||
this.activeState.setState(activeState); | ||
} | ||
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/** | ||
* Get Active state in Time | ||
* | ||
* @param time | ||
*/ | ||
public boolean getActiveState(int time) { | ||
return this.activeState.get(time); | ||
} | ||
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/** | ||
* Set Predictive state | ||
*/ | ||
public void setPredictiveState(boolean predictiveState) { | ||
this.predictiveState.setState(predictiveState); | ||
} | ||
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/** | ||
* Get Predictive state in Time | ||
* | ||
* @param time | ||
*/ | ||
public boolean getPredictiveState(int time) { | ||
return this.predictiveState.get(time); | ||
} | ||
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private static class CellStateBuffer extends CircularArrayList<Boolean>{ | ||
public CellStateBuffer() { | ||
super(TIME_STEPS); | ||
for (int i = 0; i < TIME_STEPS; i++) { | ||
this.add(false); | ||
} | ||
} | ||
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/** | ||
* Set the current state(time NOW) | ||
* | ||
* @param state | ||
**/ | ||
void setState(boolean state){ | ||
this.set(NOW, state); | ||
} | ||
} | ||
} |
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/** | ||
* Copyright (c) 2011, Peace Technology, Inc. | ||
* $Author:$ | ||
* $Revision:$ | ||
* $Date:$ | ||
* $NoKeywords$ | ||
*/ | ||
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package htm.model; | ||
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import htm.visualizer.utils.CircularArrayList; | ||
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import java.util.ArrayList; | ||
import java.util.Collections; | ||
import java.util.List; | ||
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public class Column { | ||
public static int CELLS_PER_COLUMN = 3; | ||
private static final int COLUMN_MAX_ACTIVE = 1000; | ||
private final int columnIndex; | ||
private final List<Cell> cells = new ArrayList<Cell>(); | ||
private ArrayList<Boolean> activeList = new CircularArrayList<Boolean>(COLUMN_MAX_ACTIVE); | ||
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/** | ||
* activeDutyCycle(c) A sliding average representing how often column c has | ||
* been active after inhibition (e.g. over the last 1000 iterations). | ||
*/ | ||
private double activeDutyCycle; | ||
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public Column(int columnIndex) { | ||
this.columnIndex = columnIndex; | ||
for (int i = 0; i < CELLS_PER_COLUMN; i++) { | ||
cells.add(new Cell(this, i)); | ||
} | ||
} | ||
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public int getColumnIndex() { | ||
return columnIndex; | ||
} | ||
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public List<Cell> getCells() { | ||
return Collections.unmodifiableList(cells); | ||
} | ||
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public Cell getCellByIndex(int index){ | ||
return cells.get(index); | ||
} | ||
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/** | ||
* updateActiveDutyCycle(c) Computes a moving average of how often column c | ||
* has been active after inhibition. | ||
* | ||
* @return | ||
*/ | ||
private double updateActiveDutyCycle() { | ||
int totalActive = 0; | ||
for (boolean act : activeList) { | ||
if (act) { | ||
totalActive++; | ||
} | ||
} | ||
this.activeDutyCycle = (double) totalActive / activeList.size(); | ||
return activeDutyCycle; | ||
} | ||
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public void setActive(boolean active) { | ||
// logger.log(Level.INFO, "activeList" + activeList.size()); | ||
activeList.add(0, active); | ||
updateActiveDutyCycle(); | ||
} | ||
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public boolean isActive() { | ||
return this.activeList.size() > 0 ? activeList.get(0) : false; | ||
} | ||
} |
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