Searching: "regression" in the DMelt project

Search results in document titles:

  1. Jython Jython Example: stat_regression2.py [100%] Statistics/Regression Linear regression example II
  2. Jython Jython Example: mining_regression.py [83%] Data mining/regression Data mining using a linear regression and predictions
  3. Jython Jython Example: stat_regression1.py [83%] Statistics/Regression Linear regression example. Show predictions and confidence range
  4. Jython Jython Example: datamining_tutorial.py [70%] Data mining/regression Tutorial on data mining for java.net
  5. Jython Jython Example: stat_poly_regression.py [66%] Statistics/Regression Polynomial regression example. It shows PolySolve generator to fit X-Y data.
  6. Jython Jython Example: symb_regression.py [58%] Artificial Intelligence/genetic programming Symbolic regression solver based on genetic programming
  7. Jython Jython Example: fit_temprature.py [47%] Data fitting/hfitter Fitting data using a complex function (non-linear regression)
  8. Jython Jython Example: symb_regression_gap2D.py [47%] Artificial Intelligence/genetic programming Symbolic regression solver based on genetic programming (GAP) in 2D case
  9. Jython Jython Example: symb_regression_gap.py [47%] Artificial Intelligence/genetic programming Symbolic regression solver based on genetic programming (GAP)

Search results in document content:

  1. Java API Java API: cc.mallet.regression.tui package [100%] ..cc.mallet.regression.tui cc.mallet.regression.tui ..
  2. Java API Java API: ec.app.push package [85%] ..c.app.push classes atan print regression..
  3. Java API Java API: ec.app.regression package [79%]
  4. Java API Java API: ec.app.push package [71%]
  5. Java API Java API: ec.app.regression package [71%] ..ec.app.regression ec.app.regression classes ben..
  6. Java API Java API: jhplot.stat package [47%]
  7. Java API Java API: org.encog.ml.MLRegression interface [47%] ..org.encog.ml interface mlregression all superinterfaces: mlinput,..
  8. Java API Java API: org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression interface [45%] ..org.apache.commons.math3.stat.regression interface updatingmultiplelin..
  9. Java API Java API: cc.mallet.regression.tui.Regression class [42%] ..cc.mallet.regression.tui class regression java.lan..
  10. Java API Java API: org.apache.commons.math.stat.regression.MultipleLinearRegression interface [42%] ..org.apache.commons.math.stat.regression interface multiplelinearregre..
  11. Java API Java API: org.apache.commons.math3.stat.regression.MultipleLinearRegression interface [42%] ..org.apache.commons.math3.stat.regression interface multiplelinearregre..
  12. Java API Java API: org.jfree.data.statistics.Regression class [42%] ..g.jfree.data.statistics class regression java.lang.object org.jfree.da..
  13. Java API Java API: org.jfree.data.statistics package [42%] ..type meanandstandarddeviation regression simplehistogrambin simplehist..
  14. Jython Jython example: stat_poly_regression.py [40%] ..stat_poly_regression.py # statistics/regression | ..
  15. Java API Java API: org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression class [35%] ..org.apache.commons.math.stat.regression class abstractmultiplelinearr..
  16. Java API Java API: org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression class [35%] ..org.apache.commons.math3.stat.regression class abstractmultiplelinearr..
  17. Java API Java API: org.apache.commons.math3.stat.regression.RegressionResults class [31%] ..org.apache.commons.math3.stat.regression class regressionresults java...
  18. Jython Jython example: stat_regression2.py [30%] ..stat_regression2.py # statistics/regression |..
  19. Jython Jython example: stat_regression1.py [30%] ..stat_regression1.py # statistics/regression |..
  20. Jython Jython example: symb_regression_gap2D.py [30%] ..symb_regression_gap2d.py # artificial intelli..
  21. Java API Java API: jhplot.stat.StatShape class [29%] ..ntification based on a linear regression it calculates eccentricities ..
  22. Java API Java API: org.apache.commons.math3.stat.regression.MillerUpdatingRegression class [29%] ..org.apache.commons.math3.stat.regression class millerupdatingregressio..
  23. Jython Jython example: symb_regression_gap.py [28%] ..symb_regression_gap.py # artificial intellige..
  24. Java API Java API: jhplot.math.polysolve.PolySolve class [28%] ..lveextends japplet polynomial regression data fit. for a given data se..
  25. Java API Java API: ec.app.regression.Regression class [28%] ..ec.app.regression class regression java.lang.ob..
  26. Java API Java API: org.apache.commons.math3.stat.regression.SimpleRegression class [26%] ..org.apache.commons.math3.stat.regression class simpleregression java.l..
  27. Java API Java API: cc.mallet.regression.LeastSquares class [25%] ..cc.mallet.regression class leastsquares java.lang...
  28. Java API Java API: org.apache.poi.ss.formula.functions.LinearRegressionFunction class [25%] ..formula.functions class linearregressionfunction java.lang.object org...
  29. Java API Java API: org.encog.ml.fitting.gaussian.GaussianFitting class [25%] ..output, mlmethod, mloutput, mlregression public class gaussianfittinge..
  30. Java API Java API: org.encog.ml.fitting.linear.LinearRegression class [25%] ..ml.fitting.linear class linearregression java.lang.object org.encog.ml..
  31. Java API Java API: org.statcato.statistics.inferential.MultipleRegression class [25%] ..ics.inferential class multipleregression java.lang.object org.statcato..
  32. Java API Java API: org.statcato.statistics.inferential.MultipleRegression2 class [25%] ..ics.inferential class multipleregression2 java.lang.object org.statcat..
  33. Java API Java API: cc.mallet.regression.tui.RegressionImporter class [25%] ..cc.mallet.regression.tui class regressionimporter ..
  34. Java API Java API: edu.rit.numeric.XYSeries.Regression class [25%] ..du.rit.numeric class xyseries.regression java.lang.object edu.rit.nume..
  35. Java API Java API: org.jdmp.core package [25%]
  36. Java API Java API: ec.app.regression.Quintic class [24%] ..ec.app.regression class quintic java.lang.objec..
  37. Java API Java API: ec.app.regression.Sextic class [24%] ..ec.app.regression class sextic java.lang.object..
  38. Java API Java API: edu.rit.numeric.XYZSeries.Regression class [24%] ..u.rit.numeric class xyzseries.regression java.lang.object edu.rit.nume..
  39. Java API Java API: org.encog.ensemble.EnsembleTypes.ProblemType class [24%] .. description classification¬† regression¬† method summary all methods¬..
  40. Java API Java API: jhpro.sregression.SymRegression class [23%] ..jhpro.sregression class symregression java.lang..
  41. Java API Java API: org.statcato.statistics.inferential.CorrelationRegression class [23%] ...inferential class correlationregression java.lang.object org.statcato..
  42. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/Symbolic Regression [23%] ..= symbolic regression = term "symbolic regression" ..
  43. Java API Java API: org.apache.commons.math.stat.regression.SimpleRegression class [23%] ..org.apache.commons.math.stat.regression class simpleregression java.l..
  44. Java API Java API: edu.rit.numeric.XYSeries class [21%] ..ption static class  xyseries.regression class xyseries.regression hol..
  45. Java API Java API: jhplot.stat.LinRegWeighted class [21%] ..object weighted least squares regression constructor summary construct..
  46. Java API Java API: org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction class [21%] ..e: mean squared error: linear regression expll: exponential log likeli..
  47. Java API Java API: org.ujmp.core.doublematrix.calculation.general.missingvalues.Impute.ImputationMethod class [21%] ..putecombined  lsimputegene  regression  rowmean  zero  method sum..
  48. Jython Jython example: symb_regression.py [21%] ..symb_regression.py # artificial intelligence/..
  49. Java API Java API: ec.app.push.Regression class [21%] ..ec.app.push class regression java.lang.object ec.problem e..
  50. Java API Java API: jhplot.stat.LinReg class [21%] ..linregextends object a linear regression analysis. constructor summary..
  51. Java API Java API: org.apache.commons.math3.stat.regression.ModelSpecificationException class [21%] ..org.apache.commons.math3.stat.regression class modelspecificationexcep..
  52. Wiki Wiki: http://jwork.org/wiki/DMelt:DataAnalysis/5 Fitting Data [20%] ..ses for linear and non-linear regressions. in particular, datamelt sup..
  53. Java API Java API: ec.simple.SimpleProblemForm interface [20%] ..exer, multiplexer, multivaluedregression, nk, oddrosenbrock, ordertree..
  54. Java API Java API: org.encog.ml.svm.SVM class [18%] ..od, mloutput, mlproperties, mlregression public class svmextends basic..
  55. Java API Java API: jhpro.sregression package [18%]
  56. Java API Java API: org.encog.neural.cpn.CPN class [18%] ..od, mloutput, mlproperties, mlregression, mlresettable public class cp..
  57. Jython Jython example: fit_temprature.py [17%] .. complex function (non-linear regression) from jhplot import * tdat..
  58. Java API Java API: cc.mallet.topics.DMRRunnable class [17%] ..arallel dirichlet-multinomial regression topic model runnable task. fi..
  59. Java API Java API: org.apache.commons.math.stat.regression.GLSMultipleLinearRegression class [17%] ..org.apache.commons.math.stat.regression class glsmultiplelinearregres..
  60. Java API Java API: org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression class [17%] ..org.apache.commons.math3.stat.regression class glsmultiplelinearregres..
  61. Java API Java API: org.apache.poi.ss.formula.functions.Intercept class [17%] ..s the intercept of the linear regression line that is used to predict ..
  62. Java API Java API: org.apache.poi.ss.formula.functions.Slope class [17%] ..lates the slope of the linear regression line that is used to predict ..
  63. Jython Jython example: mining_regression.py [17%] ..mining_regression.py # data mining/regression |..
  64. Java API Java API: org.apache.commons.math.stat.regression.OLSMultipleLinearRegression class [17%] ..org.apache.commons.math.stat.regression class olsmultiplelinearregres..
  65. Java API Java API: org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression class [17%] ..org.apache.commons.math3.stat.regression class olsmultiplelinearregres..
  66. Java API Java API: edu.rit.numeric.XYZSeries class [15%] ..tion static class  xyzseries.regression class xyzseries.regression ho..
  67. Wiki Wiki: http://jwork.org/wiki/DMelt:JMathlab/Plotting [15%] ..symbols. calculate the linear regression using polyfit, and plot the r..
  68. Java API Java API: org.encog.neural.pnn.BasicPNN class [15%] ..od, mloutput, mlproperties, mlregression public class basicpnnextends ..
  69. Wiki Wiki: http://jwork.org/wiki/JMathLabTutorial:Statistics (Data Fitting) [14%] ..le we will perform non-linear regression. assume data can be described..
  70. Jython Jython example: datamining_tutorial.py [14%] ..ing_tutorial.py # data mining/regression | c | 1.4 | s.chekanov | tuto..
  71. Java API Java API: cc.mallet.topics package [14%]
  72. Java API Java API: cc.mallet.topics.tui.DMRLoader class [14%] .. mallet dirichlet-multinomial regression (dmr). dmr topic models learn..
  73. Java API Java API: org.apache.commons.math.analysis.interpolation.LoessInterpolator class [14%] ..alizable implements the local regression algorithm (also loess, lowess..
  74. Java API Java API: org.apache.commons.math3.analysis.interpolation.LoessInterpolator class [14%] ..alizable implements the local regression algorithm (also loess, lowess..
  75. Java API Java API: org.encog.ml.importance.CorrelationFeatureImportanceCalc class [14%] ..with datasets that are either regression or binary classifiers. if the..
  76. Java API Java API: org.encog.ml.importance.PerturbationFeatureImportanceCalc class [14%] ..e of features for any type of regression or classification model, with..
  77. Java API Java API: org.encog.ml package [14%]
  78. Java API Java API: org.encog.neural.networks.training.StochasticTrainingSetScore class [14%] ..thod. the method must support regression (mlregression). a random samp..

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