NAME

       heri-eval - evaluate classification algorithm

SYNOPSIS

       heri-eval [OPTIONS] dataset [-- SVM_TRAIN_OPTIONS]

DESCRIPTION

       heri-eval runs training algorithm on dataset and then evaluate it using testing set, specified by option
       -e.  Alternatively, cross-validation is run, if option -n was applied.  If cross-validation is used,
       training and testing on different folds are run in parallel, thus utilizing available CPUs.

OPTIONS

       -h, --help
             Display help information.

       -f    Enable output of per-fold statistics. See -Mf.

       -n N  Enable T*N-fold cross-validation mode and set the number of folds to N.

       -t T  Enable T*N-fold cross-validation mode and set the number of runs to T which 1 by default.

       -e testing_dataset
             Enable hold-out mode and set the testing dataset.

       -o filename
             Save results from testing sets to the specified file.

             Format: golden_class result_class [score]

       -O filename
             Save incorrectly classified objects to the specified file.

             Format: #object_number: golden_class result_class [score])

       -m filename
             Save confusion matrix to the specified file.

             Format: frequency : golden_class result_class

       -p opts
             Pass the specified opts to heri-stat(1).

       -s opts
             Pass the specified opts to heri-split(1).

       -M chars
             Sets the output mode where chars are: t -- output total statistics, f -- output per-fold
             statistics, c -- output cross-fold statistics.  The default is "-M tc".

       -S seed
             Pass the specified seed to heri-split(1).

       -K    Keep temporary directory after exiting.

       -D    Turn on the debugging mode, implies -K.

ENVIRONMENT

       SVM_TRAIN_CMD
             Training utility, e.g., liblinear-train (the default is svm-train).

       SVM_PREDICT_CMD
             Predicting utility, e.g., liblinear-predict (the default is svm-predict).

       SVM_HERI_STAT_CMD
             Utility for calculating statistics (the default is heri-stat(1)).

       SVM_HERI_STAT_ADDONS_CMD
             Utility for calculating additional statistics (the default is heri-stat-addons(1)).

       SVM_HERI_SPLIT_CMD
             Utility for splitting the dataset (the default is heri-split(1)).

       TMPDIR
             Temporary directory (the default is /tmp).

HOME

       <http://github.com/cheusov/herisvm>

SEE ALSO

       heri-split(1) heri-stat(1)

                                                   2019-01-07                                       heri-eval(1)