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This is an “FFI”-based interface to LibSVM.
The package “LIBSVM” is :CASE-SENSITIVE,
and you do not need the svm_ prefix.
When this module is present, *FEATURES*
contains the symbol :LIBSVM.
See modules/libsvm/test.tst
for sample usage.
All data is kept on the C side as much as possible, so these foreign types do not have a CLOS counterpart.
LIST on the lisp side.LIST on the lisp side.VECTOR on the lisp side.FFI:FOREIGN-POINTER.The output from the library functions goes to
*libsvm-output*, which is initialized to
*STANDARD-OUTPUT*.
(problem-l problem)problem (a
FFI:FOREIGN-VARIABLE)(problem-y problem
&OPTIONAL (length (problem-l problem)))(VECTOR
DOUBLE-FLOAT length) representing the targets in the
problem (a FFI:FOREIGN-VARIABLE).(problem-y-n problem
n &OPTIONAL (length (problem-l problem))))DOUBLE-FLOAT representing the nth
target in the problem (a FFI:FOREIGN-VARIABLE).
(problem-x problem
&OPTIONAL (length (problem-l problem)))(VECTOR (VECTOR
node) length) representing the predictors in the problem
(a FFI:FOREIGN-VARIABLE).(problem-x-n problem
n &OPTIONAL (length (problem-l problem))))(VECTOR node)
representing the nth set of predictors in the problem (a
FFI:FOREIGN-VARIABLE).(make-problem &KEY l y
x)FFI:FOREIGN-VARIABLE representing
a model.(destroy-problem problem)Release the memory taken by the problem
object and invalidate the FFI:FOREIGN-VARIABLE problem.
You must call this function yourself, but only
after deallocating all model objects trained from
this problem.
(load-problem filename &KEY
(log *STANDARD-OUTPUT*))Read a problem from a file in the libsvm/svmlight format. Return two values: the problem and max index (i.e., the number of columns).
Messages go to log.
(save-problem filename problem
&KEY (log *STANDARD-OUTPUT*))Write a problem into a file.
Messages go to log.
(destroy-model model)Release the memory taken by the model
object and invalidate the FFI:FOREIGN-VARIABLE model.
Calls svm_destroy_model or
svm_svm_free_and_destroy_model.
You do not have to call this function yourself, it is
attached to the model by train
and load-model via EXT:FINALIZE.
(check-parameter problem parameter)Check if the parameter is appropriate for the
problem.
Calls svm_check_parameter.
(train problem parameter)Train a model.
Calls svm_train
and check-parameter.
(cross-validation problem parameter
n)Run n-fold cross-validation.
Calls svm_cross_validation
and check-parameter.
(save-model filename model)Write a model into a file.
Calls svm_save_model.
(load-model filename)Read a model from a file.
Calls svm_load_model.
(get-svm-type model)svm_get_svm_type.
(get-nr-class model)svm_get_nr_class.
(get-labels model)svm_get_labels.
(get-svr-probability model)svm_get_svr_probability.
(predict-values model x)Return the decision values
(a () given
by VECTOR DOUBLE-FLOAT)model for x (a ().
VECTOR node)
Calls svm_predict_values.
(predict model x)svm_predict.
(predict-probability model x)svm_predict_probability.
(check-probability-model model)svm_check_probability_model.
(destroy-parameter parameter)Release the memory taken by the parameter
object and invalidate the FFI:FOREIGN-VARIABLE parameter.
Does not call svm_destroy_param.
You do not have to call this function yourself, it is
attached to the parameter by make-parameter
via EXT:FINALIZE.
(make-parameter &KEY :v svm_type
kernel_type degree gamma coef0 cache_size eps C nr_weight
weight_label weight nu p shrinking probability)Allocates a new FFI:FOREIGN-VARIABLE of
type parameter with the supplied slots.
The defaults come from vector v (such as returned
by (), if supplied, providing
an easy way to copy FFI:FOREIGN-VALUE parameter)parameters, otherwise the defaults
for svm-train are used.
(parameter-alist parameter)parameter.
| These notes document CLISP version 2.49.93+ | Last modified: 2018-02-19 |
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