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| author | ziejd2 | 2021-02-24 15:19:03 -0600 |
|---|---|---|
| committer | ziejd2 | 2021-02-24 15:19:03 -0600 |
| commit | 1427e9bf4f85823164b4573a3bcf1ba3ba6b04d0 (patch) | |
| tree | d4356879a9b0a3d44063a6b292ef0197173697af /sourcecodes/parameter_learning/kfoldCrossValid.m | |
| parent | a2b306b10fb07f07c63235861ccfe460153e8609 (diff) | |
| download | BNW-1427e9bf4f85823164b4573a3bcf1ba3ba6b04d0.tar.gz | |
Moving final GENENET8 version to master
Diffstat (limited to 'sourcecodes/parameter_learning/kfoldCrossValid.m')
| -rw-r--r-- | sourcecodes/parameter_learning/kfoldCrossValid.m | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/sourcecodes/parameter_learning/kfoldCrossValid.m b/sourcecodes/parameter_learning/kfoldCrossValid.m index 40b72c61..2af690d7 100644 --- a/sourcecodes/parameter_learning/kfoldCrossValid.m +++ b/sourcecodes/parameter_learning/kfoldCrossValid.m @@ -4,7 +4,7 @@ function kfoldCrossValid(pre,predict_label,nfolds) % that you want to predict and the number of folds that the % data should be divided into. -nfolds = uint8(str2num(nfolds)); +nfolds = uint16(str2num(nfolds)); sfile=strcat(pre,'structure_input.txt'); dfile=strcat(pre,'continuous_input.txt'); |