Definition at line 94 of file svm.py.
def svm.svm_parameter.__init__ |
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self, |
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options = None |
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def svm.svm_parameter.parse_options |
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self, |
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options |
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def svm.svm_parameter.set_to_default_values |
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self | ) |
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def svm.svm_parameter.show |
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self | ) |
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list svm.svm_parameter._names |
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staticprivate |
Initial value: 1 = [
"svm_type",
"kernel_type",
"degree",
"gamma",
"coef0",
2 "cache_size",
"eps",
"C",
"nr_weight",
"weight_label",
"weight",
3 "nu",
"p",
"shrinking",
"probability"]
Definition at line 95 of file svm.py.
list svm.svm_parameter._types |
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staticprivate |
Initial value: 1 = [c_int, c_int, c_int, c_double, c_double,
2 c_double, c_double, c_double, c_int, POINTER(c_int), POINTER(c_double),
3 c_double, c_double, c_int, c_int]
Definition at line 98 of file svm.py.
svm.svm_parameter.cache_size |
svm.svm_parameter.cross_validation |
svm.svm_parameter.kernel_type |
svm.svm_parameter.nr_fold |
svm.svm_parameter.nr_weight |
svm.svm_parameter.print_func |
svm.svm_parameter.probability |
svm.svm_parameter.shrinking |
svm.svm_parameter.svm_type |
svm.svm_parameter.weight_label |
The documentation for this class was generated from the following file: