Java Code Examples for org.ejml.simple.SimpleMatrix#get()
The following examples show how to use
org.ejml.simple.SimpleMatrix#get() .
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Example 1
| Source File: SentimentAnalyzer.java From hazelcast-jet-demos with Apache License 2.0 | 6 votes |
|
private double getScore(List<CoreMap> sentences, double overallSentiment) {
int matrixIndex =
overallSentiment < -0.5 ? 0 // very negative
: overallSentiment < 0.0 ? 1 // negative
: overallSentiment < 0.5 ? 3 // positive
: 4; // very positive
double sum = 0;
int numberOfSentences = 0;
for (CoreMap sentence : sentences) {
Tree sentiments = sentence.get(SentimentCoreAnnotations.SentimentAnnotatedTree.class);
int predictedClass = RNNCoreAnnotations.getPredictedClass(sentiments);
if (predictedClass == 2) { // neutral
continue;
}
SimpleMatrix matrix = RNNCoreAnnotations.getPredictions(sentiments);
sum += matrix.get(matrixIndex);
numberOfSentences++;
}
return sum / numberOfSentences;
}
Example 2
| Source File: MatrixOps.java From okde-java with MIT License | 5 votes |
|
public static double maxVectorElement(SimpleMatrix matrix){
double d = Double.MIN_VALUE;
for (int i = 0; i < matrix.numRows(); i++) {
if(matrix.get(i,0)>d)
d = matrix.get(i,0);
}
return d;
}
Example 3
| Source File: MatrixOps.java From okde-java with MIT License | 5 votes |
|
public static int maxVectorElementIndex(SimpleMatrix matrix){
double d = Double.MIN_VALUE;
int row = 0;
for (int i = 0; i < matrix.numRows(); i++) {
if(matrix.get(i,0)>d){
d = matrix.get(i,0);
row = i;
}
}
return row;
}
Example 4
| Source File: EphemerisSystemGalileo.java From GNSS_Compare with Apache License 2.0 | 4 votes |
|
private SimpleMatrix satellite_motion_diff_eq(SimpleMatrix pos1Array, SimpleMatrix vel1Array, SimpleMatrix accArray,
long ellAGlo, double gmGlo, double j2Glo, double omegaeDotGlo) {
// TODO Auto-generated method stub
/* renaming variables for better readability position */
double X = pos1Array.get(0);
double Y = pos1Array.get(1);
double Z = pos1Array.get(2);
// System.out.println("X: " + X);
// System.out.println("Y: " + Y);
// System.out.println("Z: " + Z);
/* velocity */
double Xv = vel1Array.get(0);
double Yv = vel1Array.get(1);
// System.out.println("Xv: " + Xv);
// System.out.println("Yv: " + Yv);
/* acceleration (i.e. perturbation) */
double Xa = accArray.get(0);
double Ya = accArray.get(1);
double Za = accArray.get(2);
// System.out.println("Xa: " + Xa);
// System.out.println("Ya: " + Ya);
// System.out.println("Za: " + Za);
/* parameters */
double r = Math.sqrt(Math.pow(X, 2) + Math.pow(Y, 2) + Math.pow(Z, 2));
double g = -gmGlo / Math.pow(r, 3);
double h = j2Glo * 1.5 * Math.pow((ellAGlo / r), 2);
double k = 5 * Math.pow(Z, 2) / Math.pow(r, 2);
// System.out.println("r: " + r);
// System.out.println("g: " + g);
// System.out.println("h: " + h);
// System.out.println("k: " + k);
/* differential velocity */
double[] vel_dot = new double[3];
vel_dot[0] = g * X * (1 - h * (k - 1)) + Xa + Math.pow(omegaeDotGlo, 2) * X + 2 * omegaeDotGlo * Yv;
// System.out.println("vel1: " + vel_dot[0]);
vel_dot[1] = g * Y * (1 - h * (k - 1)) + Ya + Math.pow(omegaeDotGlo, 2) * Y - 2 * omegaeDotGlo * Xv;
// System.out.println("vel2: " + vel_dot[1]);
vel_dot[2] = g * Z * (1 - h * (k - 3)) + Za;
// System.out.println("vel3: " + vel_dot[2]);
SimpleMatrix velDotArray = new SimpleMatrix(1, 3, true, vel_dot);
// velDotArray.print();
return velDotArray;
}
Example 5
| Source File: EphemerisSystemGps.java From GNSS_Compare with Apache License 2.0 | 4 votes |
|
private SimpleMatrix satellite_motion_diff_eq(SimpleMatrix pos1Array,
SimpleMatrix vel1Array, SimpleMatrix accArray, long ellAGlo,
double gmGlo, double j2Glo, double omegaeDotGlo) {
// TODO Auto-generated method stub
/* renaming variables for better readability position */
double X = pos1Array.get(0);
double Y = pos1Array.get(1);
double Z = pos1Array.get(2);
// System.out.println("X: " + X);
// System.out.println("Y: " + Y);
// System.out.println("Z: " + Z);
/* velocity */
double Xv = vel1Array.get(0);
double Yv = vel1Array.get(1);
// System.out.println("Xv: " + Xv);
// System.out.println("Yv: " + Yv);
/* acceleration (i.e. perturbation) */
double Xa = accArray.get(0);
double Ya = accArray.get(1);
double Za = accArray.get(2);
// System.out.println("Xa: " + Xa);
// System.out.println("Ya: " + Ya);
// System.out.println("Za: " + Za);
/* parameters */
double r = Math.sqrt(Math.pow(X,2) + Math.pow(Y,2) + Math.pow(Z,2));
double g = -gmGlo/Math.pow(r,3);
double h = j2Glo*1.5*Math.pow((ellAGlo/r),2);
double k = 5*Math.pow(Z,2)/Math.pow(r,2);
// System.out.println("r: " + r);
// System.out.println("g: " + g);
// System.out.println("h: " + h);
// System.out.println("k: " + k);
/* differential velocity */
double[] vel_dot = new double[3] ;
vel_dot[0] = g*X*(1 - h*(k - 1)) + Xa + Math.pow(omegaeDotGlo,2)*X + 2*omegaeDotGlo*Yv;
// System.out.println("vel1: " + vel_dot[0]);
vel_dot[1] = g*Y*(1 - h*(k - 1)) + Ya + Math.pow(omegaeDotGlo,2)*Y - 2*omegaeDotGlo*Xv;
// System.out.println("vel2: " + vel_dot[1]);
vel_dot[2] = g*Z*(1 - h*(k - 3)) + Za;
// System.out.println("vel3: " + vel_dot[2]);
SimpleMatrix velDotArray = new SimpleMatrix(1, 3, true, vel_dot);
// velDotArray.print();
return velDotArray;
}
Example 6
| Source File: EphemerisSystem.java From GNSS_Compare with Apache License 2.0 | 4 votes |
|
private SimpleMatrix satellite_motion_diff_eq(SimpleMatrix pos1Array,
SimpleMatrix vel1Array, SimpleMatrix accArray, long ellAGlo,
double gmGlo, double j2Glo, double omegaeDotGlo) {
// TODO Auto-generated method stub
/* renaming variables for better readability position */
double X = pos1Array.get(0);
double Y = pos1Array.get(1);
double Z = pos1Array.get(2);
// System.out.println("X: " + X);
// System.out.println("Y: " + Y);
// System.out.println("Z: " + Z);
/* velocity */
double Xv = vel1Array.get(0);
double Yv = vel1Array.get(1);
// System.out.println("Xv: " + Xv);
// System.out.println("Yv: " + Yv);
/* acceleration (i.e. perturbation) */
double Xa = accArray.get(0);
double Ya = accArray.get(1);
double Za = accArray.get(2);
// System.out.println("Xa: " + Xa);
// System.out.println("Ya: " + Ya);
// System.out.println("Za: " + Za);
/* parameters */
double r = Math.sqrt(Math.pow(X, 2) + Math.pow(Y, 2) + Math.pow(Z, 2));
double g = -gmGlo / Math.pow(r, 3);
double h = j2Glo * 1.5 * Math.pow((ellAGlo / r), 2);
double k = 5 * Math.pow(Z, 2) / Math.pow(r, 2);
// System.out.println("r: " + r);
// System.out.println("g: " + g);
// System.out.println("h: " + h);
// System.out.println("k: " + k);
/* differential velocity */
double[] vel_dot = new double[3];
vel_dot[0] = g * X * (1 - h * (k - 1)) + Xa + Math.pow(omegaeDotGlo, 2) * X + 2 * omegaeDotGlo * Yv;
// System.out.println("vel1: " + vel_dot[0]);
vel_dot[1] = g * Y * (1 - h * (k - 1)) + Ya + Math.pow(omegaeDotGlo, 2) * Y - 2 * omegaeDotGlo * Xv;
// System.out.println("vel2: " + vel_dot[1]);
vel_dot[2] = g * Z * (1 - h * (k - 3)) + Za;
// System.out.println("vel3: " + vel_dot[2]);
SimpleMatrix velDotArray = new SimpleMatrix(1, 3, true, vel_dot);
// velDotArray.print();
return velDotArray;
}
Example 7
| Source File: SentimentDetector.java From AIBlueprints with MIT License | 4 votes |
|
public void detectSentiment(String msgId, String txt, String source,
boolean useCoreNLP, boolean saveDb) {
Annotation annotation = new Annotation(txt);
pipeline.annotate(annotation);
List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);
if (sentences != null) {
int sentNum = 0;
for (CoreMap sentence : sentences) {
sentNum++;
String sentStr = sentence.toString();
String sentiment = "Neutral";
int sentiment_num = 2;
double score = 0.0;
if(useCoreNLP) {
sentiment = sentence.get(SentimentCoreAnnotations.SentimentClass.class);
Tree sentimentTree = sentence.get(SentimentCoreAnnotations.SentimentAnnotatedTree.class);
// 0 = very negative, 1 = negative, 2 = neutral, 3 = positive, and 4 = very positive
Integer predictedClass = RNNCoreAnnotations.getPredictedClass(sentimentTree);
SimpleMatrix scoreMatrix = RNNCoreAnnotations.getPredictions(sentimentTree);
score = scoreMatrix.get(predictedClass.intValue(), 0);
sentiment_num = predictedClass.intValue();
} else {
double sentimentValue = 0.0;
int adjectivesFound = 0;
// check every adjective to see if it appears in sentence
for(String adj : adjectives.keySet()) {
if(sentStr.matches(".*\\b" + adj + "\\b.*")) {
sentimentValue += adjectives.get(adj);
adjectivesFound++;
}
}
if(adjectivesFound > 0) {
sentimentValue /= adjectivesFound;
}
if(sentimentValue < -2) {
sentiment = "Very Negative";
sentiment_num = 0;
} else if(sentimentValue < -0.5) {
sentiment = "Negative";
sentiment_num = 1;
} else if(sentimentValue < 0.5) {
sentiment = "Neutral";
sentiment_num = 2;
} else if(sentimentValue < 2) {
sentiment = "Positive";
sentiment_num = 3;
} else {
sentiment = "Very Positive";
sentiment_num = 4;
}
if(adjectivesFound > 0)
score = 1.0;
else
score = 0.0;
}
logger.log(Level.INFO, source + " "
+ msgId + " - "
+ sentiment + " (" + score + ") "
+ sentence.toString());
// Only save somewhat confident, non-neutral results
if(score > 0.3 && sentiment_num != 2 && saveDb) {
try {
// check if
String sql = "INSERT INTO sentiment"
+ "(id,source,msg,sentiment,sentiment_num,score)"
+ " VALUES(?,?,?,?,?,?)";
PreparedStatement pstmt = db.prepareStatement(sql);
pstmt.setString(1, msgId + "-" + sentNum);
pstmt.setString(2, source);
pstmt.setString(3, sentStr);
pstmt.setString(4, sentiment);
pstmt.setInt(5, sentiment_num);
pstmt.setDouble(6, score);
pstmt.executeUpdate();
} catch (SQLException e) {
logger.log(Level.SEVERE, e.getMessage());
}
}
}
}
}
Example 8
| Source File: LSPI.java From burlap with Apache License 2.0 | 2 votes |
|
/**
* Runs LSTDQ on this object's current {@link SARSData} dataset.
* @return the new weight matrix as a {@link SimpleMatrix} object.
*/
public SimpleMatrix LSTDQ(){
//set our policy
Policy p = new GreedyQPolicy(this);
//first we want to get all the features for all of our states in our data set; this is important if our feature database generates new features on the fly
List<SSFeatures> features = new ArrayList<LSPI.SSFeatures>(this.dataset.size());
int nf = 0;
for(SARS sars : this.dataset.dataset){
SSFeatures transitionFeatures = new SSFeatures(this.saFeatures.features(sars.s, sars.a), this.saFeatures.features(sars.sp, p.action(sars.sp)));
features.add(transitionFeatures);
nf = Math.max(nf, transitionFeatures.sActionFeatures.length);
}
SimpleMatrix B = SimpleMatrix.identity(nf).scale(this.identityScalar);
SimpleMatrix b = new SimpleMatrix(nf, 1);
for(int i = 0; i < features.size(); i++){
SimpleMatrix phi = this.phiConstructor(features.get(i).sActionFeatures, nf);
SimpleMatrix phiPrime = this.phiConstructor(features.get(i).sPrimeActionFeatures, nf);
double r = this.dataset.get(i).r;
SimpleMatrix numerator = B.mult(phi).mult(phi.minus(phiPrime.scale(gamma)).transpose()).mult(B);
SimpleMatrix denomenatorM = phi.minus(phiPrime.scale(this.gamma)).transpose().mult(B).mult(phi);
double denomenator = denomenatorM.get(0) + 1;
B = B.minus(numerator.scale(1./denomenator));
b = b.plus(phi.scale(r));
//DPrint.cl(0, "updated matrix for row " + i + "/" + features.size());
}
SimpleMatrix w = B.mult(b);
this.vfa = this.vfa.copy();
for(int i = 0; i < nf; i++){
this.vfa.setParameter(i, w.get(i, 0));
}
return w;
}
