PrincipalComponents.java
| Index Score | ||
|---|---|---|
 |
 |
weka.attributeSelection |
 |
 |
Weka |
View: Reasons, Metrics, Source Code
These are the metrics that contribute to the Enerjy Score for this file, ranked by impact. So the metrics listed at the top influence the score to a greater extent that the metrics listed at the bottom.
| Metric | Description | |
|---|---|---|
| LOOPS | Number of loops |  |
| DECL_COMMENTS | Comments in declarations | |
| SIZE | Size of the file in bytes | |
| LOGICAL_LINES | Number of statements | |
| DOC_COMMENT | Number of javadoc comment lines | |
| LINES | Number of lines in the source file | |
| COMMENTS | Comment lines | |
| EXEC_COMMENTS | Comments in executable code | |
| OPERATORS | Number of operators | |
| COMPARISONS | Number of comparison operators | |
| RETURNS | Number of return points from functions | |
| PROGRAM_LENGTH | Halstead program length | |
| ELOC | Effective lines of code | |
| BLOCKS | Number of blocks | |
| CYCLOMATIC | Cyclomatic complexity | |
| OPERANDS | Number of operands | |
| EXITS | Procedure exits | |
| LOC | Lines of code | |
| UNIQUE_OPERANDS | Number of unique operands | |
| JAVA0177 | JAVA0177 Variable declaration missing initializer | |
| PROGRAM_VOCAB | Halstead program vocabulary | |
| JAVA0233 | JAVA0233 Definition of serialVersionUID other than 'private static final long serialVersionUID' | |
| JAVA0160 | JAVA0160 Method does not throw specified exception | |
| LINE_COMMENT | Number of line comments | |
| INTERFACE_COMPLEXITY | Interface complexity | |
| JAVA0076 | JAVA0076 Use of magic number | |
| JAVA0035 | JAVA0035 Missing braces in for statement | |
| FUNCTIONS | Number of function declarations | |
| UNIQUE_OPERATORS | Number of unique operators | |
| WHITESPACE | Number of whitespace lines | |
| JAVA0117 | JAVA0117 Missing javadoc: method 'method' | |
| JAVA0082 | JAVA0082 Unnecessary widening cast | |
| PROGRAM_VOLUME | Halstead program volume | |
| JAVA0136 | JAVA0136 N methods defined in class (maximum: M) | |
| JAVA0126 | JAVA0126 Method declares unchecked exception in throws | |
| JAVA0285 | JAVA0285 Dereference of potentially null variable | |
| JAVA0110 | JAVA0110 Incorrect javadoc: no @return tag | |
| JAVA0034 | JAVA0034 Missing braces in if statement | |
| JAVA0030 | JAVA0030 Private field not used | |
| JAVA0100 | JAVA0100 Class contains N non-final fields (maximum: M) | |
| JAVA0108 | JAVA0108 Incorrect javadoc: no @param tag for 'parameter' | |
| JAVA0130 | JAVA0130 Non-static method does not use instance fields | |
| NEST_DEPTH | Maximum nesting depth | |
| JAVA0145 | JAVA0145 Tab character used in source file | |
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/*
* PrincipalComponents.java
* Copyright (C) 2000 University of Waikato, Hamilton, New Zealand
*
*/
package weka.attributeSelection;
import weka.core.Attribute;
import weka.core.Capabilities;
import weka.core.FastVector;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Matrix;
import weka.core.Option;
import weka.core.OptionHandler;
import weka.core.RevisionUtils;
import weka.core.SparseInstance;
import weka.core.Utils;
import weka.core.Capabilities.Capability;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.NominalToBinary;
import weka.filters.unsupervised.attribute.Normalize;
import weka.filters.unsupervised.attribute.Remove;
import weka.filters.unsupervised.attribute.ReplaceMissingValues;
import java.util.Enumeration;
import java.util.Vector;
/**
<!-- globalinfo-start -->
* Performs a principal components analysis and transformation of the data. Use in conjunction with a Ranker search. Dimensionality reduction is accomplished by choosing enough eigenvectors to account for some percentage of the variance in the original data---default 0.95 (95%). Attribute noise can be filtered by transforming to the PC space, eliminating some of the worst eigenvectors, and then transforming back to the original space.
* <p/>
<!-- globalinfo-end -->
*
<!-- options-start -->
* Valid options are: <p/>
*
* <pre> -D
* Don't normalize input data.</pre>
*
* <pre> -R
* Retain enough PC attributes to account
* for this proportion of variance in the original data.
* (default = 0.95)</pre>
*
* <pre> -O
* Transform through the PC space and
* back to the original space.</pre>
*
* <pre> -A
* Maximum number of attributes to include in
* transformed attribute names. (-1 = include all)</pre>
*
<!-- options-end -->
*
* @author Mark Hall (mhall@cs.waikato.ac.nz)
* @author Gabi Schmidberger (gabi@cs.waikato.ac.nz)
* @version $Revision: 1.36 $
*/
public class PrincipalComponents
extends UnsupervisedAttributeEvaluator
implements AttributeTransformer, OptionHandler {
/** for serialization */
static final long serialVersionUID = 3310137541055815078L;
/** The data to transform analyse/transform */
private Instances m_trainInstances;
/** Keep a copy for the class attribute (if set) */
private Instances m_trainCopy;
/** The header for the transformed data format */
private Instances m_transformedFormat;
/** The header for data transformed back to the original space */
private Instances m_originalSpaceFormat;
/** Data has a class set */
private boolean m_hasClass;
/** Class index */
private int m_classIndex;
/** Number of attributes */
private int m_numAttribs;
/** Number of instances */
private int m_numInstances;
/** Correlation matrix for the original data */
private double [][] m_correlation;
/** Will hold the unordered linear transformations of the (normalized)
original data */
private double [][] m_eigenvectors;
/** Eigenvalues for the corresponding eigenvectors */
private double [] m_eigenvalues = null;
/** Sorted eigenvalues */
private int [] m_sortedEigens;
/** sum of the eigenvalues */
private double m_sumOfEigenValues = 0.0;
/** Filters for original data */
private ReplaceMissingValues m_replaceMissingFilter;
private Normalize m_normalizeFilter;
private NominalToBinary m_nominalToBinFilter;
private Remove m_attributeFilter;
/** used to remove the class column if a class column is set */
private Remove m_attribFilter;
/** The number of attributes in the pc transformed data */
private int m_outputNumAtts = -1;
/** normalize the input data? */
private boolean m_normalize = true;
/** the amount of varaince to cover in the original data when
retaining the best n PC's */
private double m_coverVariance = 0.95;
/** transform the data through the pc space and back to the original
space ? */
private boolean m_transBackToOriginal = false;
/** maximum number of attributes in the transformed attribute name */
private int m_maxAttrsInName = 5;
/** holds the transposed eigenvectors for converting back to the
original space */
private double [][] m_eTranspose;
/**
* Returns a string describing this attribute transformer
* @return a description of the evaluator suitable for
* displaying in the explorer/experimenter gui
*/
public String globalInfo() {
return "Performs a principal components analysis and transformation of "
+"the data. Use in conjunction with a Ranker search. Dimensionality "
+"reduction is accomplished by choosing enough eigenvectors to "
+"account for some percentage of the variance in the original data---"
+"default 0.95 (95%). Attribute noise can be filtered by transforming "
+"to the PC space, eliminating some of the worst eigenvectors, and "
+"then transforming back to the original space.";
}
/**
* Returns an enumeration describing the available options. <p>
*
* @return an enumeration of all the available options.
**/
public Enumeration listOptions () {
Vector newVector = new Vector(3);
newVector.addElement(new Option("\tDon't normalize input data."
, "D", 0, "-D"));
newVector.addElement(new Option("\tRetain enough PC attributes to account "
+"\n\tfor this proportion of variance in "
+"the original data.\n"
+ "\t(default = 0.95)",
"R",1,"-R"));
newVector.addElement(new Option("\tTransform through the PC space and "
+"\n\tback to the original space."
, "O", 0, "-O"));
newVector.addElement(new Option("\tMaximum number of attributes to include in "
+ "\n\ttransformed attribute names. (-1 = include all)"
, "A", 1, "-A"));
return newVector.elements();
}
/**
* Parses a given list of options. <p/>
*
<!-- options-start -->
* Valid options are: <p/>
*
* <pre> -D
* Don't normalize input data.</pre>
*
* <pre> -R
* Retain enough PC attributes to account
* for this proportion of variance in the original data.
* (default = 0.95)</pre>
*
* <pre> -O
* Transform through the PC space and
* back to the original space.</pre>
*
* <pre> -A
* Maximum number of attributes to include in
* transformed attribute names. (-1 = include all)</pre>
*
<!-- options-end -->
*
* @param options the list of options as an array of strings
* @throws Exception if an option is not supported
*/
public void setOptions (String[] options)
throws Exception {
resetOptions();
String optionString;
optionString = Utils.getOption('R', options);
if (optionString.length() != 0) {
Double temp;
temp = Double.valueOf(optionString);
setVarianceCovered(temp.doubleValue());
}
optionString = Utils.getOption('A', options);
if (optionString.length() != 0) {
setMaximumAttributeNames(Integer.parseInt(optionString));
}
setNormalize(!Utils.getFlag('D', options));
setTransformBackToOriginal(Utils.getFlag('O', options));
}
/**
* Reset to defaults
*/
private void resetOptions() {
m_coverVariance = 0.95;
m_normalize = true;
m_sumOfEigenValues = 0.0;
m_transBackToOriginal = false;
}
/**
* Returns the tip text for this property
* @return tip text for this property suitable for
* displaying in the explorer/experimenter gui
*/
public String normalizeTipText() {
return "Normalize input data.";
}
/**
* Set whether input data will be normalized.
* @param n true if input data is to be normalized
*/
public void setNormalize(boolean n) {
m_normalize = n;
}
/**
* Gets whether or not input data is to be normalized
* @return true if input data is to be normalized
*/
public boolean getNormalize() {
return m_normalize;
}
/**
* Returns the tip text for this property
* @return tip text for this property suitable for
* displaying in the explorer/experimenter gui
*/
public String varianceCoveredTipText() {
return "Retain enough PC attributes to account for this proportion of "
+"variance.";
}
/**
* Sets the amount of variance to account for when retaining
* principal components
* @param vc the proportion of total variance to account for
*/
public void setVarianceCovered(double vc) {
m_coverVariance = vc;
}
/**
* Gets the proportion of total variance to account for when
* retaining principal components
* @return the proportion of variance to account for
*/
public double getVarianceCovered() {
return m_coverVariance;
}
/**
* Returns the tip text for this property
* @return tip text for this property suitable for
* displaying in the explorer/experimenter gui
*/
public String maximumAttributeNamesTipText() {
return "The maximum number of attributes to include in transformed attribute names.";
}
/**
* Sets maximum number of attributes to include in
* transformed attribute names.
* @param m the maximum number of attributes
*/
public void setMaximumAttributeNames(int m) {
m_maxAttrsInName = m;
}
/**
* Gets maximum number of attributes to include in
* transformed attribute names.
* @return the maximum number of attributes
*/
public int getMaximumAttributeNames() {
return m_maxAttrsInName;
}
/**
* Returns the tip text for this property
* @return tip text for this property suitable for
* displaying in the explorer/experimenter gui
*/
public String transformBackToOriginalTipText() {
return "Transform through the PC space and back to the original space. "
+"If only the best n PCs are retained (by setting varianceCovered < 1) "
+"then this option will give a dataset in the original space but with "
+"less attribute noise.";
}
/**
* Sets whether the data should be transformed back to the original
* space
* @param b true if the data should be transformed back to the
* original space
*/
public void setTransformBackToOriginal(boolean b) {
m_transBackToOriginal = b;
}
/**
* Gets whether the data is to be transformed back to the original
* space.
* @return true if the data is to be transformed back to the original space
*/
public boolean getTransformBackToOriginal() {
return m_transBackToOriginal;
}
/**
* Gets the current settings of PrincipalComponents
*
* @return an array of strings suitable for passing to setOptions()
*/
public String[] getOptions () {
String[] options = new String[6];
int current = 0;
if (!getNormalize()) {
options[current++] = "-D";
}
options[current++] = "-R";
options[current++] = ""+getVarianceCovered();
options[current++] = "-A";
options[current++] = ""+getMaximumAttributeNames();
if (getTransformBackToOriginal()) {
options[current++] = "-O";
}
while (current < options.length) {
options[current++] = "";
}
return options;
}
/**
* Returns the capabilities of this evaluator.
*
* @return the capabilities of this evaluator
* @see Capabilities
*/
public Capabilities getCapabilities() {
Capabilities result = super.getCapabilities();
// attributes
result.enable(Capability.NOMINAL_ATTRIBUTES);
result.enable(Capability.NUMERIC_ATTRIBUTES);
result.enable(Capability.DATE_ATTRIBUTES);
result.enable(Capability.MISSING_VALUES);
// class
result.enable(Capability.NOMINAL_CLASS);
result.enable(Capability.NUMERIC_CLASS);
result.enable(Capability.DATE_CLASS);
result.enable(Capability.MISSING_CLASS_VALUES);
result.enable(Capability.NO_CLASS);
return result;
}
/**
* Initializes principal components and performs the analysis
* @param data the instances to analyse/transform
* @throws Exception if analysis fails
*/
public void buildEvaluator(Instances data) throws Exception {
// can evaluator handle data?
getCapabilities().testWithFail(data);
buildAttributeConstructor(data);
}
private void buildAttributeConstructor (Instances data) throws Exception {
m_eigenvalues = null;
m_outputNumAtts = -1;
m_attributeFilter = null;
m_nominalToBinFilter = null;
m_sumOfEigenValues = 0.0;
m_trainInstances = new Instances(data);
// make a copy of the training data so that we can get the class
// column to append to the transformed data (if necessary)
m_trainCopy = new Instances(m_trainInstances);
m_replaceMissingFilter = new ReplaceMissingValues();
m_replaceMissingFilter.setInputFormat(m_trainInstances);
m_trainInstances = Filter.useFilter(m_trainInstances,
m_replaceMissingFilter);
if (m_normalize) {
m_normalizeFilter = new Normalize();
m_normalizeFilter.setInputFormat(m_trainInstances);
m_trainInstances = Filter.useFilter(m_trainInstances, m_normalizeFilter);
}
m_nominalToBinFilter = new NominalToBinary();
m_nominalToBinFilter.setInputFormat(m_trainInstances);
m_trainInstances = Filter.useFilter(m_trainInstances,
m_nominalToBinFilter);
// delete any attributes with only one distinct value or are all missing
Vector deleteCols = new Vector();
for (int i=0;i<m_trainInstances.numAttributes();i++) {
if (m_trainInstances.numDistinctValues(i) <=1) {
deleteCols.addElement(new Integer(i));
}
}
if (m_trainInstances.classIndex() >=0) {
// get rid of the class column
m_hasClass = true;
m_classIndex = m_trainInstances.classIndex();
deleteCols.addElement(new Integer(m_classIndex));
}
// remove columns from the data if necessary
if (deleteCols.size() > 0) {
m_attributeFilter = new Remove();
int [] todelete = new int [deleteCols.size()];
for (int i=0;i<deleteCols.size();i++) {
todelete[i] = ((Integer)(deleteCols.elementAt(i))).intValue();
}
m_attributeFilter.setAttributeIndicesArray(todelete);
m_attributeFilter.setInvertSelection(false);
m_attributeFilter.setInputFormat(m_trainInstances);
m_trainInstances = Filter.useFilter(m_trainInstances, m_attributeFilter);
}
// can evaluator handle the processed data ? e.g., enough attributes?
getCapabilities().testWithFail(m_trainInstances);
m_numInstances = m_trainInstances.numInstances();
m_numAttribs = m_trainInstances.numAttributes();
fillCorrelation();
double [] d = new double[m_numAttribs];
double [][] v = new double[m_numAttribs][m_numAttribs];
Matrix corr = new Matrix(m_correlation);
corr.eigenvalueDecomposition(v, d);
m_eigenvectors = (double [][])v.clone();
m_eigenvalues = (double [])d.clone();
// any eigenvalues less than 0 are not worth anything --- change to 0
for (int i = 0; i < m_eigenvalues.length; i++) {
if (m_eigenvalues[i] < 0) {
m_eigenvalues[i] = 0.0;
}
}
m_sortedEigens = Utils.sort(m_eigenvalues);
m_sumOfEigenValues = Utils.sum(m_eigenvalues);
m_transformedFormat = setOutputFormat();
if (m_transBackToOriginal) {
m_originalSpaceFormat = setOutputFormatOriginal();
// new ordered eigenvector matrix
int numVectors = (m_transformedFormat.classIndex() < 0)
? m_transformedFormat.numAttributes()
: m_transformedFormat.numAttributes() - 1;
double [][] orderedVectors =
new double [m_eigenvectors.length][numVectors + 1];
// try converting back to the original space
for (int i = m_numAttribs - 1; i > (m_numAttribs - numVectors - 1); i--) {
for (int j = 0; j < m_numAttribs; j++) {
orderedVectors[j][m_numAttribs - i] =
m_eigenvectors[j][m_sortedEigens[i]];
}
}
// transpose the matrix
int nr = orderedVectors.length;
int nc = orderedVectors[0].length;
m_eTranspose =
new double [nc][nr];
for (int i = 0; i < nc; i++) {
for (int j = 0; j < nr; j++) {
m_eTranspose[i][j] = orderedVectors[j][i];
}
}
}
}
/**
* Returns just the header for the transformed data (ie. an empty
* set of instances. This is so that AttributeSelection can
* determine the structure of the transformed data without actually
* having to get all the transformed data through getTransformedData().
* @return the header of the transformed data.
* @throws Exception if the header of the transformed data can't
* be determined.
*/
public Instances transformedHeader() throws Exception {
if (m_eigenvalues == null) {
throw new Exception("Principal components hasn't been built yet");
}
if (m_transBackToOriginal) {
return m_originalSpaceFormat;
} else {
return m_transformedFormat;
}
}
/**
* Gets the transformed training data.
* @return the transformed training data
* @throws Exception if transformed data can't be returned
*/
public Instances transformedData() throws Exception {
if (m_eigenvalues == null) {
throw new Exception("Principal components hasn't been built yet");
}
Instances output;
if (m_transBackToOriginal) {
output = new Instances(m_originalSpaceFormat);
} else {
output = new Instances(m_transformedFormat);
}
for (int i=0;i<m_trainCopy.numInstances();i++) {
Instance converted = convertInstance(m_trainCopy.instance(i));
output.add(converted);
}
return output;
}
/**
* Evaluates the merit of a transformed attribute. This is defined
* to be 1 minus the cumulative variance explained. Merit can't
* be meaningfully evaluated if the data is to be transformed back
* to the original space.
* @param att the attribute to be evaluated
* @return the merit of a transformed attribute
* @throws Exception if attribute can't be evaluated
*/
public double evaluateAttribute(int att) throws Exception {
if (m_eigenvalues == null) {
throw new Exception("Principal components hasn't been built yet!");
}
if (m_transBackToOriginal) {
return 1.0; // can't evaluate back in the original space!
}
// return 1-cumulative variance explained for this transformed att
double cumulative = 0.0;
for (int i = m_numAttribs - 1; i >= m_numAttribs - att - 1; i--) {
cumulative += m_eigenvalues[m_sortedEigens[i]];
}
return 1.0 - cumulative / m_sumOfEigenValues;
}
/**
* Fill the correlation matrix
*/
private void fillCorrelation() {
m_correlation = new double[m_numAttribs][m_numAttribs];
double [] att1 = new double [m_numInstances];
double [] att2 = new double [m_numInstances];
double corr;
for (int i = 0; i < m_numAttribs; i++) {
for (int j = 0; j < m_numAttribs; j++) {
if (i == j) {
m_correlation[i][j] = 1.0;
} else {
for (int k = 0; k < m_numInstances; k++) {
att1[k] = m_trainInstances.instance(k).value(i);
att2[k] = m_trainInstances.instance(k).value(j);
}
corr = Utils.correlation(att1,att2,m_numInstances);
m_correlation[i][j] = corr;
m_correlation[j][i] = corr;
}
}
}
}
/**
* Return a summary of the analysis
* @return a summary of the analysis.
*/
private String principalComponentsSummary() {
StringBuffer result = new StringBuffer();
double cumulative = 0.0;
Instances output = null;
int numVectors=0;
try {
output = setOutputFormat();
numVectors = (output.classIndex() < 0)
? output.numAttributes()
: output.numAttributes()-1;
} catch (Exception ex) {
}
//tomorrow
result.append("Correlation matrix\n"+matrixToString(m_correlation)
+"\n\n");
result.append("eigenvalue\tproportion\tcumulative\n");
for (int i = m_numAttribs - 1; i > (m_numAttribs - numVectors - 1); i--) {
cumulative+=m_eigenvalues[m_sortedEigens[i]];
result.append(Utils.doubleToString(m_eigenvalues[m_sortedEigens[i]],9,5)
+"\t"+Utils.
doubleToString((m_eigenvalues[m_sortedEigens[i]] /
m_sumOfEigenValues),
9,5)
+"\t"+Utils.doubleToString((cumulative /
m_sumOfEigenValues),9,5)
+"\t"+output.attribute(m_numAttribs - i - 1).name()+"\n");
}
result.append("\nEigenvectors\n");
for (int j = 1;j <= numVectors;j++) {
result.append(" V"+j+'\t');
}
result.append("\n");
for (int j = 0; j < m_numAttribs; j++) {
for (int i = m_numAttribs - 1; i > (m_numAttribs - numVectors - 1); i--) {
result.append(Utils.
doubleToString(m_eigenvectors[j][m_sortedEigens[i]],7,4)
+"\t");
}
result.append(m_trainInstances.attribute(j).name()+'\n');
}
if (m_transBackToOriginal) {
result.append("\nPC space transformed back to original space.\n"
+"(Note: can't evaluate attributes in the original "
+"space)\n");
}
return result.toString();
}
/**
* Returns a description of this attribute transformer
* @return a String describing this attribute transformer
*/
public String toString() {
if (m_eigenvalues == null) {
return "Principal components hasn't been built yet!";
} else {
return "\tPrincipal Components Attribute Transformer\n\n"
+principalComponentsSummary();
}
}
/**
* Return a matrix as a String
* @param matrix that is decribed as a string
* @return a String describing a matrix
*/
private String matrixToString(double [][] matrix) {
StringBuffer result = new StringBuffer();
int last = matrix.length - 1;
for (int i = 0; i <= last; i++) {
for (int j = 0; j <= last; j++) {
result.append(Utils.doubleToString(matrix[i][j],6,2)+" ");
if (j == last) {
result.append('\n');
}
}
}
return result.toString();
}
/**
* Convert a pc transformed instance back to the original space
*
* @param inst the instance to convert
* @return the processed instance
* @throws Exception if something goes wrong
*/
private Instance convertInstanceToOriginal(Instance inst)
throws Exception {
double[] newVals = null;
if (m_hasClass) {
newVals = new double[m_numAttribs+1];
} else {
newVals = new double[m_numAttribs];
}
if (m_hasClass) {
// class is always appended as the last attribute
newVals[m_numAttribs] = inst.value(inst.numAttributes() - 1);
}
for (int i = 0; i < m_eTranspose[0].length; i++) {
double tempval = 0.0;
for (int j = 1; j < m_eTranspose.length; j++) {
tempval += (m_eTranspose[j][i] *
inst.value(j - 1));
}
newVals[i] = tempval;
}
if (inst instanceof SparseInstance) {
return new SparseInstance(inst.weight(), newVals);
} else {
return new Instance(inst.weight(), newVals);
}
}
/**
* Transform an instance in original (unormalized) format. Convert back
* to the original space if requested.
* @param instance an instance in the original (unormalized) format
* @return a transformed instance
* @throws Exception if instance cant be transformed
*/
public Instance convertInstance(Instance instance) throws Exception {
if (m_eigenvalues == null) {
throw new Exception("convertInstance: Principal components not "
+"built yet");
}
double[] newVals = new double[m_outputNumAtts];
Instance tempInst = (Instance)instance.copy();
if (!instance.equalHeaders(m_trainCopy.instance(0))) {
throw new Exception("Can't convert instance: header's don't match: "
+"PrincipalComponents");
}
m_replaceMissingFilter.input(tempInst);
m_replaceMissingFilter.batchFinished();
tempInst = m_replaceMissingFilter.output();
if (m_normalize) {
m_normalizeFilter.input(tempInst);
m_normalizeFilter.batchFinished();
tempInst = m_normalizeFilter.output();
}
m_nominalToBinFilter.input(tempInst);
m_nominalToBinFilter.batchFinished();
tempInst = m_nominalToBinFilter.output();
if (m_attributeFilter != null) {
m_attributeFilter.input(tempInst);
m_attributeFilter.batchFinished();
tempInst = m_attributeFilter.output();
}
if (m_hasClass) {
newVals[m_outputNumAtts - 1] = instance.value(instance.classIndex());
}
double cumulative = 0;
for (int i = m_numAttribs - 1; i >= 0; i--) {
double tempval = 0.0;
for (int j = 0; j < m_numAttribs; j++) {
tempval += (m_eigenvectors[j][m_sortedEigens[i]] *
tempInst.value(j));
}
newVals[m_numAttribs - i - 1] = tempval;
cumulative+=m_eigenvalues[m_sortedEigens[i]];
if ((cumulative / m_sumOfEigenValues) >= m_coverVariance) {
break;
}
}
if (!m_transBackToOriginal) {
if (instance instanceof SparseInstance) {
return new SparseInstance(instance.weight(), newVals);
} else {
return new Instance(instance.weight(), newVals);
}
} else {
if (instance instanceof SparseInstance) {
return convertInstanceToOriginal(new SparseInstance(instance.weight(),
newVals));
} else {
return convertInstanceToOriginal(new Instance(instance.weight(),
newVals));
}
}
}
/**
* Set up the header for the PC->original space dataset
*
* @return the output format
* @throws Exception if something goes wrong
*/
private Instances setOutputFormatOriginal() throws Exception {
FastVector attributes = new FastVector();
for (int i = 0; i < m_numAttribs; i++) {
String att = m_trainInstances.attribute(i).name();
attributes.addElement(new Attribute(att));
}
if (m_hasClass) {
attributes.addElement(m_trainCopy.classAttribute().copy());
}
Instances outputFormat =
new Instances(m_trainCopy.relationName()+"->PC->original space",
attributes, 0);
// set the class to be the last attribute if necessary
if (m_hasClass) {
outputFormat.setClassIndex(outputFormat.numAttributes()-1);
}
return outputFormat;
}
/**
* Set the format for the transformed data
* @return a set of empty Instances (header only) in the new format
* @throws Exception if the output format can't be set
*/
private Instances setOutputFormat() throws Exception {
if (m_eigenvalues == null) {
return null;
}
double cumulative = 0.0;
FastVector attributes = new FastVector();
for (int i = m_numAttribs - 1; i >= 0; i--) {
StringBuffer attName = new StringBuffer();
// build array of coefficients
double[] coeff_mags = new double[m_numAttribs];
for (int j = 0; j < m_numAttribs; j++)
coeff_mags[j] = -Math.abs(m_eigenvectors[j][m_sortedEigens[i]]);
int num_attrs = (m_maxAttrsInName > 0) ? Math.min(m_numAttribs, m_maxAttrsInName) : m_numAttribs;
// this array contains the sorted indices of the coefficients
int[] coeff_inds;
if (m_numAttribs > 0) {
// if m_maxAttrsInName > 0, sort coefficients by decreasing magnitude
coeff_inds = Utils.sort(coeff_mags);
} else {
// if m_maxAttrsInName <= 0, use all coeffs in original order
coeff_inds = new int[m_numAttribs];
for (int j=0; j<m_numAttribs; j++)
coeff_inds[j] = j;
}
// build final attName string
for (int j = 0; j < num_attrs; j++) {
double coeff_value = m_eigenvectors[coeff_inds[j]][m_sortedEigens[i]];
if (j > 0 && coeff_value >= 0)
attName.append("+");
attName.append(Utils.doubleToString(coeff_value,5,3)
+m_trainInstances.attribute(coeff_inds[j]).name());
}
if (num_attrs < m_numAttribs)
attName.append("...");
attributes.addElement(new Attribute(attName.toString()));
cumulative+=m_eigenvalues[m_sortedEigens[i]];
if ((cumulative / m_sumOfEigenValues) >= m_coverVariance) {
break;
}
}
if (m_hasClass) {
attributes.addElement(m_trainCopy.classAttribute().copy());
}
Instances outputFormat =
new Instances(m_trainInstances.relationName()+"_principal components",
attributes, 0);
// set the class to be the last attribute if necessary
if (m_hasClass) {
outputFormat.setClassIndex(outputFormat.numAttributes()-1);
}
m_outputNumAtts = outputFormat.numAttributes();
return outputFormat;
}
/**
* Returns the revision string.
*
* @return the revision
*/
public String getRevision() {
return RevisionUtils.extract("$Revision: 1.36 $");
}
/**
* Main method for testing this class
* @param argv should contain the command line arguments to the
* evaluator/transformer (see AttributeSelection)
*/
public static void main(String [] argv) {
runEvaluator(new PrincipalComponents(), argv);
}
}
The table below shows all metrics for PrincipalComponents.java.
| Metric | Value | Description | |
|---|---|---|---|
| BLOCKS | 110.00 | Number of blocks | |
| BLOCK_COMMENT | 20.00 | Number of block comment lines | |
| COMMENTS | 289.00 | Comment lines | |
| COMMENT_DENSITY | 0.66 | Comment density | |
| COMPARISONS | 80.00 | Number of comparison operators | |
| CYCLOMATIC | 107.00 | Cyclomatic complexity | |
| DECL_COMMENTS | 57.00 | Comments in declarations | |
| DOC_COMMENT | 246.00 | Number of javadoc comment lines | |
| ELOC | 439.00 | Effective lines of code | |
| EXEC_COMMENTS | 22.00 | Comments in executable code | |
| EXITS | 79.00 | Procedure exits | |
| FUNCTIONS | 33.00 | Number of function declarations | |
| HALSTEAD_DIFFICULTY | 109.03 | Halstead difficulty | |
| HALSTEAD_EFFORT | 0.00 | Halstead effort | |
| INTERFACE_COMPLEXITY | 85.00 | Interface complexity | |
| JAVA0001 | 1.00 | JAVA0001 Package name does not contain only lower case letters | |
| JAVA0002 | 1.00 | JAVA0002 Package name does not begin with a top level domain name or country code | |
| JAVA0003 | 0.00 | JAVA0003 Minimize use of on-demand (.*) imports | |
| JAVA0004 | 0.00 | JAVA0004 Unnecessary import from java.lang | |
| JAVA0005 | 1.00 | JAVA0005 Imports not in specified order | |
| JAVA0006 | 0.00 | JAVA0006 Empty finally block | |
| JAVA0007 | 0.00 | JAVA0007 Should not declare public field | |
| JAVA0008 | 1.00 | JAVA0008 Empty catch block | |
| JAVA0009 | 0.00 | JAVA0009 Protected member in final class | |
| JAVA0010 | 0.00 | JAVA0010 Non-instantiable class does not contain a non-private static member | |
| JAVA0011 | 0.00 | JAVA0011 Abstract class does not contain an abstract method | |
| JAVA0012 | 0.00 | JAVA0012 Non-constructor method with same name as declaring class | |
| JAVA0013 | 0.00 | JAVA0013 Non-blank final field is not static | |
| JAVA0014 | 0.00 | JAVA0014 Class with only static members has non-private constructor | |
| JAVA0015 | 0.00 | JAVA0015 Package class contains public nested type | |
| JAVA0016 | 0.00 | JAVA0016 Abstract class contains public constructor | |
| JAVA0017 | 0.00 | JAVA0017 Class name does not have required form | |
| JAVA0018 | 0.00 | JAVA0018 Method name does not have required form | |
| JAVA0019 | 0.00 | JAVA0019 Interface name does not have required form | |
| JAVA0020 | 0.00 | JAVA0020 Field name does not have required form | |
| JAVA0021 | 0.00 | JAVA0021 Interface method name does not have required form | |
| JAVA0022 | 0.00 | JAVA0022 Static final field name does not have required form | |
| JAVA0023 | 0.00 | JAVA0023 Empty finalize method | |
| JAVA0024 | 0.00 | JAVA0024 Empty class | |
| JAVA0025 | 0.00 | JAVA0025 Method override is empty | |
| JAVA0026 | 0.00 | JAVA0026 Finalize method with parameters | |
| JAVA0029 | 0.00 | JAVA0029 Private method not used | |
| JAVA0030 | 1.00 | JAVA0030 Private field not used | |
| JAVA0031 | 0.00 | JAVA0031 Case statement not properly closed | |
| JAVA0032 | 0.00 | JAVA0032 Switch statement missing default | |
| JAVA0033 | 0.00 | JAVA0033 default: not last case in switch statement | |
| JAVA0034 | 2.00 | JAVA0034 Missing braces in if statement | |
| JAVA0035 | 2.00 | JAVA0035 Missing braces in for statement | |
| JAVA0036 | 0.00 | JAVA0036 Missing braces in while statement | |
| JAVA0038 | 0.00 | JAVA0038 Non-case label in switch statement | |
| JAVA0039 | 0.00 | JAVA0039 Break statement with label | |
| JAVA0040 | 0.00 | JAVA0040 Switch statement contains N cases (maximum: M) | |
| JAVA0041 | 0.00 | JAVA0041 Nested synchronized block | |
| JAVA0042 | 0.00 | JAVA0042 Empty synchronized statement | |
| JAVA0043 | 0.00 | JAVA0043 Inner class does not use outer class | |
| JAVA0044 | 0.00 | JAVA0044 Serializable class with no instance variables | |
| JAVA0045 | 0.00 | JAVA0045 Serializable class with only transient fields | |
| JAVA0046 | 0.00 | JAVA0046 Name of class not derived from Exception ends with 'Exception' | |
| JAVA0047 | 0.00 | JAVA0047 Serializable class derives from invalid base class | |
| JAVA0048 | 0.00 | JAVA0048 Name of class derived from Exception does not end with 'Exception' | |
| JAVA0049 | 0.00 | JAVA0049 Nested block at depth N (maximum: M) | |
| JAVA0050 | 0.00 | JAVA0050 Class derives from java.lang.Error | |
| JAVA0051 | 0.00 | JAVA0051 Class derives from java.lang.RuntimeException | |
| JAVA0052 | 0.00 | JAVA0052 Class derives from java.lang.Throwable | |
| JAVA0053 | 0.00 | JAVA0053 Unused label | |
| JAVA0054 | 0.00 | JAVA0054 Inheritance depth N exceeds maximum M | |
| JAVA0055 | 0.00 | JAVA0055 Class should be interface | |
| JAVA0056 | 0.00 | JAVA0056 Unnecessary abstract modifier for interface or annotation | |
| JAVA0057 | 0.00 | JAVA0057 Unnecessary default constructor | |
| JAVA0058 | 0.00 | JAVA0058 Constructor calls super() | |
| JAVA0059 | 0.00 | JAVA0059 Method override only calls super() | |
| JAVA0061 | 0.00 | JAVA0061 Inaccessible member in anonymous class | |
| JAVA0062 | 0.00 | JAVA0062 Public class missing public member or protected constructor | |
| JAVA0063 | 0.00 | JAVA0063 Identifier name should not contain '$' | |
| JAVA0064 | 0.00 | JAVA0064 N variations of identifier name (maximum: M) | |
| JAVA0065 | 0.00 | JAVA0065 Unnecessary final modifier for method in final class | |
| JAVA0066 | 0.00 | JAVA0066 Unnecessary modifier for interface nested type | |
| JAVA0067 | 0.00 | JAVA0067 Array descriptor on identifier name | |
| JAVA0068 | 0.00 | JAVA0068 Modifiers not declared in recommended order | |
| JAVA0071 | 0.00 | JAVA0071 Strings compared with == | |
| JAVA0073 | 0.00 | JAVA0073 Integer division in floating-point context | |
| JAVA0074 | 0.00 | JAVA0074 Use of Object.notify() | |
| JAVA0075 | 0.00 | JAVA0075 Method parameter hides field | |
| JAVA0076 | 7.00 | JAVA0076 Use of magic number | |
| JAVA0077 | 0.00 | JAVA0077 Private field not used in declaring class | |
| JAVA0078 | 0.00 | JAVA0078 Floating point values compared with == | |
| JAVA0079 | 0.00 | JAVA0079 Use of instance to reference static member | |
| JAVA0080 | 0.00 | JAVA0080 Import declaration not used | |
| JAVA0081 | 0.00 | JAVA0081 Boolean literal in comparison | |
| JAVA0082 | 2.00 | JAVA0082 Unnecessary widening cast | |
| JAVA0083 | 0.00 | JAVA0083 Unnecessary instanceof test | |
| JAVA0084 | 0.00 | JAVA0084 Should use compound assignment operator | |
| JAVA0085 | 0.00 | JAVA0085 Use of sun.* class | |
| JAVA0087 | 0.00 | JAVA0087 Use of Thread.sleep() | |
| JAVA0089 | 0.00 | JAVA0089 Use of restricted package | |
| JAVA0092 | 0.00 | JAVA0092 Use of restricted type | |
| JAVA0093 | 0.00 | JAVA0093 Redundant assignment | |
| JAVA0094 | 0.00 | JAVA0094 Field hides a superclass field | |
| JAVA0095 | 0.00 | JAVA0095 Uninitialized private field | |
| JAVA0096 | 0.00 | JAVA0096 Field in nested class hides outer field | |
| JAVA0098 | 0.00 | JAVA0098 Minimize use of implicit field initializers | |
| JAVA0100 | 1.00 | JAVA0100 Class contains N non-final fields (maximum: M) | |
| JAVA0101 | 0.00 | JAVA0101 Unnecessary modifier for field in interface | |
| JAVA0102 | 0.00 | JAVA0102 Last statement in finalize() not super.finalize() | |
| JAVA0103 | 0.00 | JAVA0103 Explicit call to finalize() | |
| JAVA0104 | 0.00 | JAVA0104 finalize() only calls super.finalize() | |
| JAVA0105 | 0.00 | JAVA0105 Duplicate import declaration | |
| JAVA0106 | 0.00 | JAVA0106 Unnecessary import from current package | |
| JAVA0108 | 0.00 | JAVA0108 Incorrect javadoc: no @param tag for 'parameter' | |
| JAVA0109 | 0.00 | JAVA0109 Incorrect javadoc: no parameter 'parameter' | |
| JAVA0110 | 0.00 | JAVA0110 Incorrect javadoc: no @return tag | |
| JAVA0111 | 0.00 | JAVA0111 Incorrect javadoc: @return tag for void method | |
| JAVA0112 | 0.00 | JAVA0112 Incorrect javadoc: no exception 'exception' in throws | |
| JAVA0113 | 0.00 | JAVA0113 Incorrect javadoc: no @author tag | |
| JAVA0114 | 0.00 | JAVA0114 Incorrect javadoc: no @version tag | |
| JAVA0115 | 0.00 | JAVA0115 Incorrect javadoc: no @throws or @exception tag for 'exception' | |
| JAVA0116 | 0.00 | JAVA0116 Missing javadoc: field 'field' | |
| JAVA0117 | 0.00 | JAVA0117 Missing javadoc: method 'method' | |
| JAVA0118 | 0.00 | JAVA0118 Missing javadoc: type 'type' | |
| JAVA0119 | 0.00 | JAVA0119 Control variable changed within body of for loop | |
| JAVA0123 | 0.00 | JAVA0123 Use all three components of for loop | |
| JAVA0125 | 0.00 | JAVA0125 Continue statement with label | |
| JAVA0126 | 0.00 | JAVA0126 Method declares unchecked exception in throws | |
| JAVA0128 | 0.00 | JAVA0128 Public constructor in non-public class | |
| JAVA0130 | 1.00 | JAVA0130 Non-static method does not use instance fields | |
| JAVA0131 | 0.00 | JAVA0131 Compatible method does not override base | |
| JAVA0132 | 0.00 | JAVA0132 Method overload with compatible signature | |
| JAVA0133 | 0.00 | JAVA0133 Non-synchronized method overrides synchronized method | |
| JAVA0135 | 0.00 | JAVA0135 Only one of Object.equals and Object.hashCode defined: missing 'method' | |
| JAVA0136 | 1.00 | JAVA0136 N methods defined in class (maximum: M) | |
| JAVA0137 | 1.00 | JAVA0137 Non-abstract class missing constructor | |
| JAVA0138 | 0.00 | JAVA0138 N parameters defined for method (maximum: M) | |
| JAVA0139 | 0.00 | JAVA0139 Definition of main other than public static void main(java.lang.String[]) | |
| JAVA0141 | 0.00 | JAVA0141 Unnecessary modifier for method in interface | |
| JAVA0143 | 0.00 | JAVA0143 Synchronized method | |
| JAVA0144 | 1.00 | JAVA0144 Line exceeds maximum M characters | |
| JAVA0145 | 2.00 | JAVA0145 Tab character used in source file | |
| JAVA0150 | 0.00 | JAVA0150 java.lang.Error (or subclass) thrown | |
| JAVA0153 | 0.00 | JAVA0153 Inefficient conversion of integer to string | |
| JAVA0159 | 0.00 | JAVA0159 Inefficient conversion of string to integer | |
| JAVA0160 | 3.00 | JAVA0160 Method does not throw specified exception | |
| JAVA0161 | 0.00 | JAVA0161 Conditional wait() not in loop | |
| JAVA0163 | 0.00 | JAVA0163 Empty statement | |
| JAVA0165 | 0.00 | JAVA0165 Conflicting return statement in finally block | |
| JAVA0166 | 1.00 | JAVA0166 Generic exception caught | |
| JAVA0167 | 0.00 | JAVA0167 ThreadDeath not rethrown | |
| JAVA0169 | 0.00 | JAVA0169 Unnecessary catch block: exception 'exception' | |
| JAVA0170 | 0.00 | JAVA0170 Caught exception not derived from java.lang.Exception | |
| JAVA0171 | 0.00 | JAVA0171 Unused local variable | |
| JAVA0173 | 0.00 | JAVA0173 Unused method parameter | |
| JAVA0174 | 0.00 | JAVA0174 Assigned local variable never used | |
| JAVA0175 | 0.00 | JAVA0175 Successive assignment to variable | |
| JAVA0176 | 0.00 | JAVA0176 Local variable name does not have required form | |
| JAVA0177 | 5.00 | JAVA0177 Variable declaration missing initializer | |
| JAVA0179 | 0.00 | JAVA0179 Local variable hides visible field | |
| JAVA0233 | 1.00 | JAVA0233 Definition of serialVersionUID other than 'private static final long serialVersionUID' | |
| JAVA0234 | 0.00 | JAVA0234 Class is Serializable but does not define serialVersionUID | |
| JAVA0235 | 0.00 | JAVA0235 Class defines serialVersionUID but does not implement Serializable | |
| JAVA0236 | 0.00 | JAVA0236 Attempt to clone an object which does not implement Cloneable | |
| JAVA0237 | 0.00 | JAVA0237 Class implements Cloneable but does not have public clone method | |
| JAVA0238 | 0.00 | JAVA0238 Clone method does not call super.clone() | |
| JAVA0239 | 0.00 | JAVA0239 Class declares 'readObject' or 'writeObject' but does not implement Serializable | |
| JAVA0240 | 0.00 | JAVA0240 Serializable class which declares readObject or writeObject but not both | |
| JAVA0241 | 0.00 | JAVA0241 'readObject' or 'writeObject' should be declared private in Serializable class | |
| JAVA0242 | 0.00 | JAVA0242 Transient field in non-Serializable class | |
| JAVA0243 | 0.00 | JAVA0243 'readResolve' or 'writeReplace' should be declared private or protected | |
| JAVA0244 | 0.00 | JAVA0244 Field or method name in subclass differs only by case from inherited field or method | |
| JAVA0245 | 0.00 | JAVA0245 JUnit TestCase with non-trivial constructor | |
| JAVA0246 | 0.00 | JAVA0246 JUnit assertXXX statement missing message parameter | |
| JAVA0247 | 0.00 | JAVA0247 JUnit 'setUp()' and 'tearDown()' should call super method | |
| JAVA0248 | 0.00 | JAVA0248 JUnit method 'setUp' or 'tearDown' with incorrect signature | |
| JAVA0249 | 0.00 | JAVA0249 JUnit TestCase 'suite()' should be declared static | |
| JAVA0250 | 0.00 | JAVA0250 JUnit TestCase declares testXXX method with incorrect signature | |
| JAVA0251 | 0.00 | JAVA0251 Use '%n' for line breaks in printf/format for platform independence | |
| JAVA0252 | 0.00 | JAVA0252 'enum' is a Java 1.5 reserved word | |
| JAVA0253 | 0.00 | JAVA0253 Not all enum constants consumed in switch statement | |
| JAVA0254 | 0.00 | JAVA0254 Use enhanced for loop construct instead of Iterator | |
| JAVA0255 | 0.00 | JAVA0255 Result of method invocation not used | |
| JAVA0256 | 0.00 | JAVA0256 Assignment of external collection/array to field | |
| JAVA0257 | 0.00 | JAVA0257 Use of 'Constant Interface' anti-pattern | |
| JAVA0258 | 0.00 | JAVA0258 Implement Iterable for foreach compatibility | |
| JAVA0259 | 0.00 | JAVA0259 Return of collection/array field | |
| JAVA0260 | 0.00 | JAVA0260 Use 'enum' instead of Enumerated Type pattern | |
| JAVA0261 | 0.00 | JAVA0261 Use specialized Enum collection types | |
| JAVA0262 | 0.00 | JAVA0262 Use of char in integer context | |
| JAVA0263 | 0.00 | JAVA0263 Long literal ends with 'l' instead of 'L' | |
| JAVA0264 | 0.00 | JAVA0264 Integer math in long context - check for overflow | |
| JAVA0265 | 0.00 | JAVA0265 Use of Throwable.printStackTrace() | |
| JAVA0266 | 0.00 | JAVA0266 Use of System.out | |
| JAVA0267 | 0.00 | JAVA0267 Use of System.err | |
| JAVA0269 | 0.00 | JAVA0269 Contents of StringBuffer never used | |
| JAVA0270 | 0.00 | JAVA0270 Use Java 5.0 enhanced for loop construct to iterate over all elements in an array | |
| JAVA0271 | 0.00 | JAVA0271 Minimize use of on-demand (.*) static imports | |
| JAVA0272 | 0.00 | JAVA0272 Thread.run() called | |
| JAVA0273 | 0.00 | JAVA0273 Non-final derivative of Thread calls start() in constructor | |
| JAVA0274 | 0.00 | JAVA0274 Serializable class has a synchronized readObject() | |
| JAVA0275 | 0.00 | JAVA0275 Serializable class has a synchronized writeObject() and no other synchronized methods | |
| JAVA0276 | 0.00 | JAVA0276 Unnecessary use of String constructor | |
| JAVA0277 | 0.00 | JAVA0277 Iterator.next() implementation does not throw NoSuchElementException | |
| JAVA0278 | 0.00 | JAVA0278 Unnecessary use of Boolean constructor | |
| JAVA0279 | 0.00 | JAVA0279 Serialization method readObject or readObjectNoData calls an overridable method | |
| JAVA0280 | 0.00 | JAVA0280 IllegalMonitorStateException caught | |
| JAVA0281 | 0.00 | JAVA0281 Iterator.next() not called in loop | |
| JAVA0282 | 0.00 | JAVA0282 Call to Iterator.next() in loop which does not test Iterator.hasNext() | |
| JAVA0283 | 0.00 | JAVA0283 Control variable not updated in loop body | |
| JAVA0284 | 0.00 | JAVA0284 Explicit garbage collection | |
| JAVA0285 | 1.00 | JAVA0285 Dereference of potentially null variable | |
| JAVA0286 | 0.00 | JAVA0286 Dereference of null variable | |
| JAVA0287 | 0.00 | JAVA0287 Unnecessary null check | |
| JAVA0288 | 0.00 | JAVA0288 Inconsistent null check | |
| LINES | 959.00 | Number of lines in the source file | |
| LINE_COMMENT | 23.00 | Number of line comments | |
| LOC | 539.00 | Lines of code | |
| LOGICAL_LINES | 322.00 | Number of statements | |
| LOOPS | 28.00 | Number of loops | |
| NEST_DEPTH | 5.00 | Maximum nesting depth | |
| OPERANDS | 1228.00 | Number of operands | |
| OPERATORS | 2401.00 | Number of operators | |
| PARAMS | 12.00 | Number of formal parameter declarations | |
| PROGRAM_LENGTH | 3629.00 | Halstead program length | |
| PROGRAM_VOCAB | 378.00 | Halstead program vocabulary | |
| PROGRAM_VOLUME | 0.00 | Halstead program volume | |
| RETURNS | 73.00 | Number of return points from functions | |
| SIZE | 30884.00 | Size of the file in bytes | |
| UNIQUE_OPERANDS | 321.00 | Number of unique operands | |
| UNIQUE_OPERATORS | 57.00 | Number of unique operators | |
| WHITESPACE | 131.00 | Number of whitespace lines | |