hub / github.com/Roshanson/TextInfoExp / svm_train

Function svm_train

Part6_Relation_Extraction/libsvm-3.21/python/svmutil.py:86–171 · view source on GitHub ↗

svm_train(y, x [, options]) -> model | ACC | MSE svm_train(prob [, options]) -> model | ACC | MSE svm_train(prob, param) -> model | ACC| MSE Train an SVM model from data (y, x) or an svm_problem prob using 'options' or an svm_parameter param. If '-v' is specified in 'options' (i.e., cross va

(arg1, arg2=None, arg3=None)

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Callers 6

trainwithlibsvmFunction · 0.70

mexFunctionFunction · 0.50

button_run_clickedFunction · 0.50

button_run_clickedMethod · 0.50

on_button_run_clickedFunction · 0.50

Calls 8

evaluationsFunction · 0.85

toPyModelFunction · 0.85

svm_set_print_string_functionMethod · 0.80

svm_check_parameterMethod · 0.80

svm_cross_validationMethod · 0.80

svm_trainMethod · 0.80

svm_parameterClass · 0.70

svm_problemClass · 0.70

Tested by

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