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A9T$|HD$H\$9lIDD$(H$T$8H\$`Hl$0HD$`EbLct$(Ld$@1JL4Dl$8Hl$E1ҋt$(AEM\f.AE~4L1fDHDAʉșAD)șA)DI9uA,$ID9uHL$PHl$11Ht$@THL9uT$8HD$`Dl$(Hl$D$0HD$H\$hHl$PE1ILEMAEADЙAHD$0BA9}9A)HL$HcD`HcH8E9D$|HD$H\$9jDD$$Ld$HD$8H$Hl$0Ll$`HD$HEHcD$$Lt$@1LL$HLHD$VD|$8LL$E1Hl$t$$AGI\AE~3L1fDHDAˉșAD)ЙA)DH9uA.ID9uHL$PHl$11Ht$@H|$DTHH9uT$8HD$HD$0MHl$HD$Ld$`Ll$hDl$$Hl$PE1ILEMAEADЙAHD$0BA9}9A)HL$HcD`HcH;SH\$pL$H$H$h$`HH̹HĹE9E)IcHt$p$AVHDHHLHcHH9uf.HD$`L$ooh@)$oX)$ohP)$oX )$oh`)$oX0H})$)$)l$0DŽ$H$DŽ$HH$H=YH$LH$H$$H;H$fD$h蜺H$8HE9}yE)IcHl$0Ld$pAFL$L|HH\IcH$pIH4I,LHH$8fH*YEEL9uHl$0H$8LnL$GSA9'H$pH$hE1H$x111HH\$`[d\$$D;$ $_11 1HcD9xHE@H5XH~H81D$a1L$IcH,EwpHA~IAHEEAEAMcH$ HLBL)HD1Ho,,HH9uDAt-DDxA9~HcDDA9~HNLLD$CJ<IH$L$L ALD$HH$H@EAL$EOA DH$HLHHHHHH`H @fnhfHf@JfnHBfn@fbfnhfbflAH9uDȃAtiHcL$HIHI4FvAʉ4HA9~9ItHcɃFvAʉ4D9}IT0HBRA‹T$$H$fHزHHD$`IȲHH$HEHl$P1E1ML$0L$(LMA IcHDLH1@8tAHH9u A HH9uIcL,HDH=1L$LEftHIH$ 1IFxH1~?L$L\$xH|$PL$<tM HcʃL E D HI9uHc$HH<D$$DcHD$X胱IcIHHt$`D11ATHH9uHHH$HE1H+JIE9D$${H$0L$(H4$^D$0Iۉ$HD$PHD$@HHD$(Ht$@H$H$LcTADt$HIMcLLL$PD$HcD$0LH@HHEXHL []A\ATUHHHHHHHHtʩLePMtL98LlH}XHt螩HH]A\鯧f.DATUHHHLgHHHMtLצ8L H}PHtHHBuffer is not indirectly contiguous in dimension %d.Buffer and memoryview are not contiguous in the same dimension.C-contiguous buffer is not contiguous in dimension %dC-contiguous buffer is not indirect in dimension %dBuffer exposes suboffsets but no stridesbase class '%.200s' is not a heap typeextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base typeC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C function %.200sInterpreter change detected - this module can only be loaded into one interpreter per process.Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling__int__ returned non-int (type %.200s). The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__int__ returned non-int (type %.200s)value too large to convert to intunbound method %.200S() needs an argument%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%.200s() keywords must be strings%s() got multiple values for keyword argument '%U'Unexpected format string character: '%c'Acquisition count is %d (line %d)invalid vtable found for imported typejoin() result is too long for a Python string while calling a Python objectNULL result without error in PyObject_Call__annotations__ must be set to a dict object__qualname__ must be set to a string object__name__ must be set to a string object__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function callsfunction's dictionary may not be deletedsetting function's dictionary to a non-dictinstance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Buffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s)Buffer is not indirectly accessible in dimension %d.Buffer not compatible with direct access in dimension %d.memviewslice is already initialized!sklearn.svm._libsvm.__defaults__Module '_libsvm' has already been imported. Re-initialisation is not supported.compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dfloat (int, float const *, int, float const *, int)double (int, double const *, int, double const *, int)int (struct __pyx_array_obj *)struct __pyx_array_obj *(PyObject *, Py_ssize_t, char *, char const *, char *)PyObject *(PyObject *, int, int, __Pyx_TypeInfo const *)struct __pyx_memoryview_obj *(struct __pyx_memoryview_obj *, PyObject *)int (__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int)char *(Py_buffer *, char *, Py_ssize_t, Py_ssize_t)PyObject *(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int)__Pyx_memviewslice *(struct __pyx_memoryview_obj *, __Pyx_memviewslice *)void (struct __pyx_memoryview_obj *, __Pyx_memviewslice *)PyObject *(struct __pyx_memoryview_obj *)PyObject *(struct __pyx_memoryview_obj *, __Pyx_memviewslice *)char (__Pyx_memviewslice *, int)Py_ssize_t (__Pyx_memviewslice *, int)Py_ssize_t (Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char)void *(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int)int (int, Py_ssize_t, Py_ssize_t)int (PyObject *, PyObject *, int)int (__Pyx_memviewslice, __Pyx_memviewslice, int, int, int)void (__Pyx_memviewslice *, int, int)void (__Pyx_memviewslice *, int, int, int)void (char *, Py_ssize_t *, Py_ssize_t *, int, int)void (__Pyx_memviewslice *, int, size_t, void *, int)void (char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *)sklearn.svm._libsvm.set_predict_params%s() got an unexpected keyword argument '%U'%.200s() takes %.8s %zd positional argument%.1s (%zd given)sklearn.svm._libsvm.set_verbosity_wrapsklearn.svm._libsvm.cross_validationsklearn.svm._libsvm.predict_probasklearn.svm._libsvm.decision_function_cython_3_1_3.cython_function_or_method_cython_3_1_3._common_types_metatypesklearn.svm._libsvm.__pyx_defaults4sklearn.svm._libsvm.__pyx_defaults3sklearn.svm._libsvm.__pyx_defaults2sklearn.svm._libsvm.__pyx_defaults1sklearn.svm._libsvm.__pyx_defaultstakes no arguments%.200s() %s (%zd given)takes exactly one argumentBad call flags for CyFunctiontakes no keyword arguments%.200s() %s_cython_3_1_3__pyx_capi____loader__loader__file__origin__package__parent__path__submodule_search_locationsneeds an argumentan integer is requiredkeywords must be stringssklearn._cyutilityendunparsable format string'complex double''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''double''complex long double''bool''char''complex float''float'a structPython objecta pointera string'long double'buffer dtypeBuffer not C contiguous.name '%U' is not definedsklearn/svm/_libsvm.pyxbuiltinscython_runtime__builtins__does not match__debug__memoryviewsklearn.utils._cython_blas__pyx_fuse_0_dot__pyx_fuse_1_dot_allocate_bufferarray_cwrappermemoryview_cwrappermemview_sliceslice_memviewslicepybuffer_indexint (__Pyx_memviewslice *)transpose_memslicememoryview_fromsliceget_slice_from_memviewslice_copymemoryview_copymemoryview_copy_from_sliceget_best_orderslice_get_sizefill_contig_strides_arraycopy_data_to_temp_err_extents_err_dimint (PyObject *, PyObject *)_errint (void)_err_no_memorymemoryview_copy_contentsbroadcast_leadingrefcount_copyingrefcount_objects_in_slice_slice_assign_scalarinit sklearn.svm._libsvmset_verbosity_wrapexactlyat leastat mostcross_validationsklearn.svm._libsvm.fitsklearn.svm._libsvm.predictpredict_probadecision_function__reduce____module____dictoffset____vectorcalloffset____weaklistoffset__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutineintconst int32_tconst float64_tPPPPPPP@PP0PP000PPPPPPPPPPPPPPPP0P@@PP0PPP0P|\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\d\\\\\4@\\L\\X\\\\\\\\\\\\\\\\\\\\\p\bffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffnfffffffff&2>ffJfffffffffffffVfffzffffCCCCC]]C9MMM999999```````~``````````7AkWB-ٌČp[F1ԋL>F1ݐȐt_G/úp[F1ݹȹt\DII?1wbM8#ϽߙʙvaL7" ΘuYgϟ{fvaL7" ts^|LhLSL>L)LLKKKKKKKlKWKBK-Kzxx^xlxdROR:R%RRQQ`/mVkZk9kX9r2__pyx_fatalerror00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899 Control verbosity of libsvm library Binding of the cross-validation routine (low-level routine) Parameters ---------- X : array-like, dtype=float of shape (n_samples, n_features) Y : array, dtype=float of shape (n_samples,) target vector n_fold : int32 Number of folds for cross validation. svm_type : {0, 1, 2, 3, 4}, default=0 Type of SVM: C_SVC, NuSVC, OneClassSVM, EpsilonSVR or NuSVR respectively. kernel : {'linear', 'rbf', 'poly', 'sigmoid', 'precomputed'}, default='rbf' Kernel to use in the model: linear, polynomial, RBF, sigmoid or precomputed. degree : int32, default=3 Degree of the polynomial kernel (only relevant if kernel is set to polynomial). gamma : float64, default=0.1 Gamma parameter in rbf, poly and sigmoid kernels. Ignored by other kernels. coef0 : float64, default=0.0 Independent parameter in poly/sigmoid kernel. tol : float64, default=1e-3 Numeric stopping criterion (WRITEME). C : float64, default=1 C parameter in C-Support Vector Classification. nu : float64, default=0.5 An upper bound on the fraction of training errors and a lower bound of the fraction of support vectors. Should be in the interval (0, 1]. epsilon : double, default=0.1 Epsilon parameter in the epsilon-insensitive loss function. class_weight : array, dtype=float64, shape (n_classes,), default=np.empty(0) Set the parameter C of class i to class_weight[i]*C for SVC. If not given, all classes are supposed to have weight one. sample_weight : array, dtype=float64, shape (n_samples,), default=np.empty(0) Weights assigned to each sample. shrinking : int, default=1 Whether to use the shrinking heuristic. probability : int, default=0 Whether to enable probability estimates. cache_size : float64, default=100 Cache size for gram matrix columns (in megabytes). max_iter : int (-1 for no limit), default=-1 Stop solver after this many iterations regardless of accuracy (XXX Currently there is no API to know whether this kicked in.) random_seed : int, default=0 Seed for the random number generator used for probability estimates. Returns ------- target : array, float Predict margin (libsvm name for this is predict_values) We have to reconstruct model and parameters to make sure we stay in sync with the python object. Parameters ---------- X : array-like, dtype=float, size=[n_samples, n_features] support : array, shape=[n_support] Index of support vectors in training set. SV : array, shape=[n_support, n_features] Support vectors. nSV : array, shape=[n_class] Number of support vectors in each class. sv_coef : array, shape=[n_class-1, n_support] Coefficients of support vectors in decision function. intercept : array, shape=[n_class*(n_class-1)/2] Intercept in decision function. probA, probB : array, shape=[n_class*(n_class-1)/2] Probability estimates. svm_type : {0, 1, 2, 3, 4}, optional Type of SVM: C_SVC, NuSVC, OneClassSVM, EpsilonSVR or NuSVR respectively. 0 by default. kernel : {'linear', 'rbf', 'poly', 'sigmoid', 'precomputed'}, optional Kernel to use in the model: linear, polynomial, RBF, sigmoid or precomputed. 'rbf' by default. degree : int32, optional Degree of the polynomial kernel (only relevant if kernel is set to polynomial), 3 by default. gamma : float64, optional Gamma parameter in rbf, poly and sigmoid kernels. Ignored by other kernels. 0.1 by default. coef0 : float64, optional Independent parameter in poly/sigmoid kernel. 0 by default. Returns ------- dec_values : array Predicted values. Predict probabilities svm_model stores all parameters needed to predict a given value. For speed, all real work is done at the C level in function copy_predict (libsvm_helper.c). We have to reconstruct model and parameters to make sure we stay in sync with the python object. See sklearn.svm.predict for a complete list of parameters. Parameters ---------- X : array-like, dtype=float of shape (n_samples, n_features) support : array of shape (n_support,) Index of support vectors in training set. SV : array of shape (n_support, n_features) Support vectors. nSV : array of shape (n_class,) Number of support vectors in each class. sv_coef : array of shape (n_class-1, n_support) Coefficients of support vectors in decision function. intercept : array of shape (n_class*(n_class-1)/2,) Intercept in decision function. probA, probB : array of shape (n_class*(n_class-1)/2,) Probability estimates. svm_type : {0, 1, 2, 3, 4}, default=0 Type of SVM: C_SVC, NuSVC, OneClassSVM, EpsilonSVR or NuSVR respectively. kernel : {'linear', 'rbf', 'poly', 'sigmoid', 'precomputed'}, default="rbf" Kernel to use in the model: linear, polynomial, RBF, sigmoid or precomputed. degree : int32, default=3 Degree of the polynomial kernel (only relevant if kernel is set to polynomial). gamma : float64, default=0.1 Gamma parameter in rbf, poly and sigmoid kernels. Ignored by other kernels. coef0 : float64, default=0.0 Independent parameter in poly/sigmoid kernel. Returns ------- dec_values : array Predicted values. Predict target values of X given a model (low-level method) Parameters ---------- X : array-like, dtype=float of shape (n_samples, n_features) support : array of shape (n_support,) Index of support vectors in training set. SV : array of shape (n_support, n_features) Support vectors. nSV : array of shape (n_class,) Number of support vectors in each class. sv_coef : array of shape (n_class-1, n_support) Coefficients of support vectors in decision function. intercept : array of shape (n_class*(n_class-1)/2) Intercept in decision function. probA, probB : array of shape (n_class*(n_class-1)/2,) Probability estimates. svm_type : {0, 1, 2, 3, 4}, default=0 Type of SVM: C_SVC, NuSVC, OneClassSVM, EpsilonSVR or NuSVR respectively. kernel : {'linear', 'rbf', 'poly', 'sigmoid', 'precomputed'}, default="rbf" Kernel to use in the model: linear, polynomial, RBF, sigmoid or precomputed. degree : int32, default=3 Degree of the polynomial kernel (only relevant if kernel is set to polynomial). gamma : float64, default=0.1 Gamma parameter in rbf, poly and sigmoid kernels. Ignored by other kernels. coef0 : float64, default=0.0 Independent parameter in poly/sigmoid kernel. Returns ------- dec_values : array Predicted values. Train the model using libsvm (low-level method) Parameters ---------- X : array-like, dtype=float64 of shape (n_samples, n_features) Y : array, dtype=float64 of shape (n_samples,) target vector svm_type : {0, 1, 2, 3, 4}, default=0 Type of SVM: C_SVC, NuSVC, OneClassSVM, EpsilonSVR or NuSVR respectively. kernel : {'linear', 'rbf', 'poly', 'sigmoid', 'precomputed'}, default="rbf" Kernel to use in the model: linear, polynomial, RBF, sigmoid or precomputed. degree : int32, default=3 Degree of the polynomial kernel (only relevant if kernel is set to polynomial). gamma : float64, default=0.1 Gamma parameter in rbf, poly and sigmoid kernels. Ignored by other kernels. coef0 : float64, default=0 Independent parameter in poly/sigmoid kernel. tol : float64, default=1e-3 Numeric stopping criterion (WRITEME). C : float64, default=1 C parameter in C-Support Vector Classification. nu : float64, default=0.5 An upper bound on the fraction of training errors and a lower bound of the fraction of support vectors. Should be in the interval (0, 1]. epsilon : double, default=0.1 Epsilon parameter in the epsilon-insensitive loss function. class_weight : array, dtype=float64, shape (n_classes,), default=np.empty(0) Set the parameter C of class i to class_weight[i]*C for SVC. If not given, all classes are supposed to have weight one. sample_weight : array, dtype=float64, shape (n_samples,), default=np.empty(0) Weights assigned to each sample. shrinking : int, default=1 Whether to use the shrinking heuristic. probability : int, default=0 Whether to enable probability estimates. cache_size : float64, default=100 Cache size for gram matrix columns (in megabytes). max_iter : int (-1 for no limit), default=-1 Stop solver after this many iterations regardless of accuracy (XXX Currently there is no API to know whether this kicked in.) random_seed : int, default=0 Seed for the random number generator used for probability estimates. Returns ------- support : array of shape (n_support,) Index of support vectors. support_vectors : array of shape (n_support, n_features) Support vectors (equivalent to X[support]). Will return an empty array in the case of precomputed kernel. n_class_SV : array of shape (n_class,) Number of support vectors in each class. sv_coef : array of shape (n_class-1, n_support) Coefficients of support vectors in decision function. intercept : array of shape (n_class*(n_class-1)/2,) Intercept in decision function. probA, probB : array of shape (n_class*(n_class-1)/2,) Probability estimates, empty array for probability=False. n_iter : ndarray of shape (max(1, (n_class * (n_class - 1) // 2)),) Number of iterations run by the optimization routine to fit the model. sample_weight and X have incompatible shapes: sample_weight has Number of samples is less than number of folds Binding for libsvm_skl ---------------------- These are the bindings for libsvm_skl, which is a fork of libsvm[1] that adds to libsvm some capabilities, like index of support vectors and efficient representation of dense matrices. These are low-level routines, but can be used for flexibility or performance reasons. See sklearn.svm for a higher-level API. Low-level memory management is done in libsvm_helper.c. If we happen to run out of memory a MemoryError will be raised. In practice this is not very helpful since high chances are malloc fails inside svm.cpp, where no sort of memory checks are done. [1] https://www.csie.ntu.edu.tw/~cjlin/libsvm/ Notes ----- The signature mode='c' is somewhat superficial, since we already check that arrays are C-contiguous in svm.py Authors ------- 2010: Fabian Pedregosa Gael Varoquaux 6!6! 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