matlab statsstatistics工具箱

matlab statistics toolbox，解压到toolbox路径下，addpath即可使用

classdef ClassificationDiscriminant < ...
        classreg.learning.classif.FullClassificationModel & ...
        classreg.learning.classif.CompactClassificationDiscriminant
%ClassificationDiscriminant Discriminant analysis.
%   ClassificationDiscriminant is a discriminant model for classification.
%   It can predict response for new data. It also stores data used for
%   training and can compute resubstitution predictions.
%
%   An object of this class cannot be created by calling the constructor.
%   Use ClassificationDiscriminant.fit to create a
%   ClassificationDiscriminant object by fitting the discriminant to
%   training data.
%
%   This class is derived from CompactClassificationDiscriminant.
%
%   ClassificationDiscriminant properties:
%       NObservations         - Number of observations.
%       X                     - Matrix of predictors used to train this discriminant.
%       XCentered             - Matrix of predictors with subtracted class means.
%       Y                     - True class labels used to train this discriminant.
%       W                     - Weights of observations used to train this discriminant.
%       ModelParams           - Discriminant parameters.
%       PredictorNames        - Names of predictors used for this discriminant.
%       ResponseName          - Name of the response variable.
%       ClassNames            - Names of classes in Y.
%       Cost                  - Misclassification costs.
%       Prior                 - Prior class probabilities.
%       ScoreTransform        - Transformation applied to predicted classification scores.
%       DiscrimType           - Discriminant type.
%       Gamma                 - Regularization parameter for correlation matrix of predictors.
%       Delta                 - Threshold for linear coefficients.
%       MinGamma              - Minimal allowed Gamma.
%       DeltaPredictor        - Threshold at which predictor is eliminated from the model.
%       Mu                    - Matrix of class means.
%       Sigma                 - Within-class covariance matrix.
%       BetweenSigma          - Between-class covariance matrix.
%       LogDetSigma           - Natural log of determinant of within-class covariance matrix.
%       Coeffs                - Discriminant coefficients.
%
%   ClassificationDiscriminant methods:
%       fit （static）          - Fit a discriminant.
%       make （static）         - Make a compact discriminant from class means and covariance matrix.
%       template （static）     - Discriminant template for FITENSEMBLE.
%       compact               - Compact this discriminant.
%       crossval              - Cross-validate this discriminant.
%       cvshrink              - Cross-validate regularization of this discriminant.
%       edge                  - Classification edge.
%       logP                  - Log of the unconditional probability.
%       loss                  - Classification loss.
%       margin                - Classifi

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----

     文件       5566  2012-09-09 23:38  stats\classreg\+classreg\+learning\+classif\ClassifByBinaryRegr.m

     文件      12503  2012-09-09 23:38  stats\classreg\+classreg\+learning\+classif\ClassificationBaggedEnsemble.m

     文件      17147  2012-09-21 04:14  stats\classreg\+classreg\+learning\+classif\ClassificationEnsemble.m

     文件      18325  2012-09-21 04:14  stats\classreg\+classreg\+learning\+classif\ClassificationModel.m

     文件       1143  2012-09-09 23:38  stats\classreg\+classreg\+learning\+classif\CompactClassifByBinaryRegr.m

     文件      29295  2012-11-09 02:57  stats\classreg\+classreg\+learning\+classif\CompactClassificationDiscriminant.m

     文件      19292  2012-09-09 23:38  stats\classreg\+classreg\+learning\+classif\CompactClassificationEnsemble.m

     文件      40932  2012-12-20 15:31  stats\classreg\+classreg\+learning\+classif\CompactClassificationTree.m

     文件      25025  2012-09-21 04:14  stats\classreg\+classreg\+learning\+classif\FullClassificationModel.m

     文件       1082  2012-09-09 23:38  stats\classreg\+classreg\+learning\+combiner\WeightedAverage.m

     文件       3390  2012-09-09 23:38  stats\classreg\+classreg\+learning\+combiner\WeightedSum.m

     文件       2649  2012-09-09 23:38  stats\classreg\+classreg\+learning\+ensemble\BaggedEnsemble.m

     文件      14098  2012-09-09 23:38  stats\classreg\+classreg\+learning\+ensemble\CompactEnsemble.m

     文件       8513  2012-09-09 23:38  stats\classreg\+classreg\+learning\+ensemble\Ensemble.m

     文件        691  2012-09-09 23:38  stats\classreg\+classreg\+learning\+generator\BlankGenerator.m

     文件       4771  2012-09-09 23:38  stats\classreg\+classreg\+learning\+generator\Generator.m

     文件       4882  2012-09-09 23:38  stats\classreg\+classreg\+learning\+generator\MajorityUndersampler.m

     文件       6723  2012-09-09 23:38  stats\classreg\+classreg\+learning\+generator\Partitioner.m

     文件       4589  2012-09-09 23:38  stats\classreg\+classreg\+learning\+generator\Resampler.m

     文件       6211  2012-09-09 23:38  stats\classreg\+classreg\+learning\+generator\SubspaceSampler.m

     文件       1752  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\CholeskyDiscriminantCalculator.m

     文件       4880  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\CompactEnsembleImpl.m

     文件       3171  2012-09-21 04:14  stats\classreg\+classreg\+learning\+impl\CompactTreeImpl.m

     文件       1319  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\DiagonalDiscriminantCalculator.m

     文件       1630  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\DiscriminantCalculator.m

     文件       3214  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\DiscriminantImpl.m

     文件      15204  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\LinearDiscriminantImpl.m

     文件      10377  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\QuadraticDiscriminantImpl.m

     文件       2892  2012-09-09 23:38  stats\classreg\+classreg\+learning\+impl\RegularizedDiscriminantCalculator.m

     文件      26441  2012-11-09 02:57  stats\classreg\+classreg\+learning\+impl\TreeImpl.m

............此处省略1749个文件信息