Searching: "regression" in the DMelt project

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  1. Java DMelt API DMelt API: org.apache.commons.math.stat.regression.OLSMultipleLinearRegression class [17%] ..org.apache.commons.math.stat.regression class olsmultiplelinearregres..
  2. Java DMelt API DMelt API: org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression class [17%] ..org.apache.commons.math3.stat.regression class olsmultiplelinearregres..
  3. Java DMelt API DMelt API: edu.rit.numeric.XYZSeries class [15%] ..tion static class  xyzseries.regression class xyzseries.regression ho..
  4. Wiki Wiki: http://jwork.org/wiki/DMelt:JMathlab/Plotting [15%] ..symbols. calculate the linear regression using polyfit, and plot the r..
  5. Java DMelt API DMelt API: org.encog.neural.pnn.BasicPNN class [15%] ..od, mloutput, mlproperties, mlregression public class basicpnnextends ..
  6. Wiki Wiki: http://jwork.org/wiki/JMathLabTutorial:Statistics (Data Fitting) [14%] ..le we will perform non-linear regression. assume data can be described..
  7. Jython Jython Example: datamining_tutorial.py [14%] ..ing_tutorial.py # data mining/regression | c | 1.4 | s.chekanov | tuto..
  8. Java DMelt API DMelt API: cc.mallet.topics package [14%]
  9. Java DMelt API DMelt API: cc.mallet.topics.tui.DMRLoader class [14%] .. mallet dirichlet-multinomial regression (dmr). dmr topic models learn..
  10. Java DMelt API DMelt API: com.datumbox.framework.core.machinelearning.classification.MaximumEntropy class [14%] ..ation of multinomial logistic regression model. references: http://blo..
  11. Java DMelt API DMelt API: org.apache.commons.math.analysis.interpolation.LoessInterpolator class [14%] ..alizable implements the local regression algorithm (also loess, lowess..
  12. Java DMelt API DMelt API: org.apache.commons.math3.analysis.interpolation.LoessInterpolator class [14%] ..alizable implements the local regression algorithm (also loess, lowess..
  13. Java DMelt API DMelt API: org.encog.ml.importance.CorrelationFeatureImportanceCalc class [14%] ..with datasets that are either regression or binary classifiers. if the..
  14. Java DMelt API DMelt API: org.encog.ml.importance.PerturbationFeatureImportanceCalc class [14%] ..e of features for any type of regression or classification model, with..
  15. Java DMelt API DMelt API: org.encog.ml package [14%]
  16. Java DMelt API DMelt API: org.encog.neural.networks.training.StochasticTrainingSetScore class [14%] ..thod. the method must support regression (mlregression). a random samp..
  17. Java DMelt API DMelt API: org.encog.neural.networks.training.TrainingSetScore class [14%] ..thod. the method must support regression (mlregression). see also: ser..
  18. Java DMelt API DMelt API: ec.Setup interface [12%] ..r, multiselection, multivaluedregression, mupluslambdabreeder, mutatea..
  19. Java DMelt API DMelt API: edu.rit.numeric package [12%]
  20. Java DMelt API DMelt API: org.encog.ensemble.GenericEnsembleML class [12%] ..output, mlmethod, mloutput, mlregression public class genericensemblem..
  21. Java DMelt API DMelt API: org.encog.neural.rbf.RBFNetwork class [12%] ..od, mloutput, mlproperties, mlregression, mlresettable, containsflat p..
  22. Java DMelt API DMelt API: org.statcato.dialogs.stat.correg.CorrelationMatrixDialog class [12%] ..og for linear correlation and regression between all pairs of selected..
  23. Java DMelt API DMelt API: org.statcato.dialogs.stat.correg.CorrelationRegressionDialog class [12%] ...stat.correg class correlationregressiondialog java.lang.object java.a..
  24. Java DMelt API DMelt API: org.statcato.dialogs.stat.correg.MultipleRegressionDialog class [12%] ..ogs.stat.correg class multipleregressiondialog java.lang.object java.a..
  25. Java DMelt API DMelt API: org.statcato.dialogs.stat.correg.NonLinearModelsDialog class [12%] ..fit a non-linear mathematical regression model to two variables. the u..
  26. Java DMelt API DMelt API: net.finmath.montecarlo.conditionalexpectation.MonteCarloConditionalExpectationRegression class [12%] ..ntecarloconditionalexpectationregression java.lang.object net.finmath...
  27. Java DMelt API DMelt API: org.jdmp.core.algorithm.regression.LinearRegression class [12%] ..org.jdmp.core.algorithm.regression class linearregression java.l..
  28. Jython Jython Example: stat_ecen1.py [10%] ..)) # use unweighted linear regression and weighted means in quadran..
  29. Jython Jython Example: stat_statshape.py [10%] ..(w)) # use unweighted linear regression and weighted means in quadran..
  30. Java DMelt API DMelt API: cc.mallet.classify.MaxEnt class [10%] ..py (aka multivariate logistic regression) classifier. see also: serial..
  31. Java DMelt API DMelt API: cc.mallet.classify package [10%]
  32. Java DMelt API DMelt API: edu.uci.jforests.config.TrainingConfig class [10%] ..xample, the value of "bagging-regressiontree" means that we want baggi..
  33. Java DMelt API DMelt API: net.finmath.montecarlo.interestrate.products.components.Exposure class [10%] ..ectation is estimated using a regression. see also: abstractlibormonte..
  34. Wiki Wiki: http://jwork.org/wiki/DMelt:Statistics/1 General Topics [10%] ..hi2 and the p-value. = linear regression analysis = there are several ..
  35. Java DMelt API DMelt API: ec.Prototype interface [10%] ..a, multiselection, multivaluedregression, mutateallnodespipeline, muta..
  36. Java DMelt API DMelt API: org.encog.neural.freeform.FreeformNetwork class [10%] ..od, mloutput, mlproperties, mlregression, mlresettable public class fr..
  37. Java DMelt API DMelt API: org.encog.neural.neat.NEATPopulation class [10%] ..od, mloutput, mlproperties, mlregression public class neatpopulationex..
  38. Java DMelt API DMelt API: org.jfree.data.statistics.Statistics class [10%] .. ydata) finds the slope of a regression line using least squares. sta..
  39. Wiki Wiki: http://jwork.org/wiki/JMathLabTutorial:Plots [9%] ..symbols. calculate the linear regression using polyfit, and plot the r..
  40. Jython Jython Example: dbox_classify.py [8%] ..o perform clustering, * regression, build recommender system or ..
  41. Java DMelt API DMelt API: boofcv.alg.shapes.polygon.RefinePolygonLineToImage class [8%] .. fit to a line using weighted regression. both black squares with whit..
  42. Java DMelt API DMelt API: ec.gp.GPProblem class [8%] ..exer, multiplexer, multivaluedregression, ordertree, parity, pushprobl..
  43. Java DMelt API DMelt API: org.statcato.dialogs.graph.NormalQuantilePlotDialog class [8%] .. labels, title, and whether a regression line is displayed. since: 1.0..
  44. Java DMelt API DMelt API: org.statcato.dialogs.graph.ScatterplotDialog class [8%] ..e, and whether a legend and a regression line are displayed. since: 1...
  45. Java DMelt API DMelt API: org.encog.neural.networks.BasicNetwork class [7%] ..od, mloutput, mlproperties, mlregression, mlresettable, containsflat p..
  46. Wiki Wiki: http://jwork.org/wiki/DMelt:Plots/1 Canvases [7%] ..ay and interactive non-linear regression (fits) |- | jhplot.hplotja ||..
  47. Wiki Wiki: http://jwork.org/wiki/DMelt:JMathlab/Polynomials [7%] ..re estimate is performed. the regression analysis in exercise 8 was pe..
  48. Wiki Wiki: http://jwork.org/wiki/JMathLabTutorial:8 Polynomials [7%] ..re estimate is performed. the regression analysis in exercise 8 was pe..
  49. Wiki Wiki: http://jwork.org/wiki/JMathLabTutorial:Matricies [7%] .. we calculate the 4-th degree regression polynomial for the following ..
  50. Java DMelt API DMelt API: ec.gp.push.PushProblem class [7%] ..able direct known subclasses: regression public abstract class pushpro..
  51. Wiki Wiki: http://jwork.org/wiki/DMelt:DataAnalysis/1 Data Structures [6%] ..erform a least-squared linear regression: from jhplot.stat import * p..
  52. Wiki Wiki: http://jwork.org/wiki/DMelt:JMathlab/9 Vectors and Matrices [6%] .. we calculate the 4-th degree regression polynomial for the following ..
  53. Java DMelt API DMelt API: org.encog.app.analyst.wizard.AnalystWizard class [6%] ..sh. is this a classification, regression or autoassociation problem. f..