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
- N-fold cross validation mode (mandatory option).
- -t T
- T*N-fold cross validation mode (1 by default).
- -e testing set
- Sets 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)
- -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).
- TMPDIR
- Temporary directory (the default is /tmp).