heri-eval - evaluate classification algorithm
heri-eval [OPTIONS] dataset [--
SVM_TRAIN_OPTIONS]
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.
- -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.
- 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).
<http://github.com/cheusov/herisvm>