Download all versions of gridSearch JAR files with all dependencies
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.12)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.12
Last update 30. October 2018
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.12
Last update 30. October 2018
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.11)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.11
Last update 08. July 2017
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.11
Last update 08. July 2017
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.10)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 22. March 2017
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 22. March 2017
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.9)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.9
Last update 21. December 2015
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.9
Last update 21. December 2015
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.8)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.8
Last update 21. December 2015
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.8
Last update 21. December 2015
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.7)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.7
Last update 05. June 2013
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.7
Last update 05. June 2013
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.6)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 09. October 2012
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 09. October 2012
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.5)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.5
Last update 26. April 2012
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.5
Last update 26. April 2012
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
gridSearch from group nz.ac.waikato.cms.weka (version 1.0.4)
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid.
In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>').
GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well.
The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods.
Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.
Artifact gridSearch
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 24. April 2012
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 24. April 2012
Tags: accessed predicting handle passed otherwise determine float extensions until ridge center avoid search initial false border getbestclassifier option hill pairs linearregression climbing performed then will components small might getting pair data gridsearch kind numbers supported worked best doubles note performs just schemes true maxgridextensions repeated process point accuracy produce methods buildclassifier integers char type long getbestfilter been after values taken properties booleans adjacent that default cast better case this filter call other well through chooses evaluation another selected parameter order automatically setup grid axis with check extend nans numericcleaner fold plsfilter implementation continue applied classifier actual gridisextendable found
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/gridSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, partialLeastSquares,
There are maybe transitive dependencies!
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