MCPcopy Create free account

hub / github.com/cjlin1/liblinear / functions

Functions176 in github.com/cjlin1/liblinear

⨍ Functions 176◇ Types & classes 38
↓ 62 callersFunctioninfo
linear.cpp:36
↓ 29 callersFunctionmax
linear.cpp:16
↓ 25 callersFunctionswap
linear.cpp:11
↓ 22 callersFunctionfillprototype
(f, restype, argtypes)
python/liblinear/liblinear.py:71
↓ 22 callersFunctionmin
linear.cpp:13
↓ 10 callersFunctionfake_answer
matlab/predict.c:52
↓ 8 callersFunctionfake_answer
matlab/libsvmread.c:28
↓ 8 callersFunctionreadline
svm-scale.c:340
↓ 7 callersFunctioncheck_oneclass_model
linear.cpp:3761
↓ 7 callersFunctionfake_answer
matlab/train.c:320
↓ 7 callersFunctionfree_and_destroy_model
linear.cpp:3672
↓ 6 callersMethodnewton
newton.cpp:95
↓ 6 callersMethodset_print_string
newton.cpp:248
↓ 5 callersFunctioncheck_regression_model
linear.cpp:3754
↓ 5 callersFunctionddot_
blas/ddot.c:7
↓ 5 callersFunctiondestroy_param
linear.cpp:3683
↓ 5 callersFunctionexit_with_help
train.c:13
↓ 5 callersFunctiongen_feature_nodearray
(xi, feature_max=None)
python/liblinear/liblinear.py:83
↓ 4 callersFunctionclean_up
svm-scale.c:394
↓ 4 callersFunctionexit_input_error
train.c:63
↓ 4 callersFunctionexit_input_error
predict.c:18
↓ 4 callersFunctiongenFields
(names, types)
python/liblinear/liblinear.py:68
↓ 4 callersFunctionset_print_string_function
linear.cpp:3766
↓ 4 callersFunctiontrain
Interface functions
linear.cpp:2949
↓ 3 callersFunctioncheck_probability_model
linear.cpp:3747
↓ 3 callersFunctiondaxpy_
blas/daxpy.c:7
↓ 3 callersFunctiondnrm2_
blas/dnrm2.c:8
↓ 3 callersFunctionexit_with_help
matlab/train.c:23
↓ 3 callersFunctionexit_with_help
matlab/predict.c:213
↓ 3 callersMethodgrad
linear.cpp:296
↓ 3 callersFunctioninfo
(s)
python/liblinear/liblinearutil.py:199
↓ 3 callersFunctionoutput
svm-scale.c:372
↓ 3 callersFunctionpredict
linear.cpp:3329
↓ 3 callersFunctionpredict_values
linear.cpp:3278
↓ 3 callersFunctiontrain_one
linear.cpp:2618
↓ 2 callersFunctioncalc_start_C
Calculate the initial C for parameter selection
linear.cpp:2770
↓ 2 callersFunctioncheck_parameter
linear.cpp:3693
↓ 2 callersFunctioncross_validation
linear.cpp:3110
↓ 2 callersFunctionevaluations
evaluations(ty, pv, useScipy) -> (ACC, MSE, SCC) ty, pv: list, tuple or ndarray useScipy: convert ty, pv to ndarray, and use scipy functi
python/liblinear/commonutil.py:106
↓ 2 callersFunctionexit_with_help
predict.c:175
↓ 2 callersFunctionexit_with_help
svm-scale.c:7
↓ 2 callersFunctionexit_with_help
matlab/libsvmwrite.c:12
↓ 2 callersFunctionfind_parameter_C
linear.cpp:2824
↓ 2 callersFunctionfind_parameters
linear.cpp:3169
↓ 2 callersMethodfun
linear.cpp:149
↓ 2 callersFunctionget_nr_class
linear.cpp:3588
↓ 2 callersMethodget_nr_class
(self)
python/liblinear/liblinear.py:406
↓ 2 callersFunctionget_nr_feature
linear.cpp:3583
↓ 2 callersMethodget_nr_variable
linear.cpp:170
↓ 2 callersFunctionget_w_value
use inline here for better performance (around 20% faster than the non-inline one)
linear.cpp:3601
↓ 2 callersFunctionpredict_probability
linear.cpp:3337
↓ 2 callersFunctionquick_select_min_k
rearrange nodes so that nodes[i] <= nodes[k] for all i < k nodes[k] <= nodes[j] for all j > k low and high are the bounds of the index range during th
linear.cpp:2216
↓ 2 callersFunctionreadline
train.c:72
↓ 2 callersFunctionreadline
matlab/libsvmread.c:38
↓ 2 callersMethodset_bias
(self, bias)
python/liblinear/liblinear.py:233
↓ 2 callersFunctionsolve_l2r_l1l2_svc
linear.cpp:901
↓ 2 callersFunctionsolve_l2r_l1l2_svr
linear.cpp:1121
↓ 2 callersFunctiontoPyModel
toPyModel(model_ptr) -> model Convert a ctypes POINTER(model) to a Python model
python/liblinear/liblinear.py:442
↓ 2 callersFunctiontranspose
transpose matrix X from row format to column format
linear.cpp:2486
↓ 1 callersMethodHv
linear.cpp:340
↓ 1 callersMethodSolve
linear.cpp:657
↓ 1 callersFunctioncalc_max_p
linear.cpp:2814
↓ 1 callersFunctionclone
linear.cpp:18
↓ 1 callersFunctioncompare_feature_node
linear.cpp:2173
↓ 1 callersFunctioncreate_cpp_source
()
python/setup.py:63
↓ 1 callersFunctioncsr_to_problem
(x, prob)
python/liblinear/liblinear.py:161
↓ 1 callersFunctioncsr_to_problem_jit
(l, x_val, x_ind, x_rowptr, prob_val, prob_ind, prob_rowptr)
python/liblinear/liblinear.py:147
↓ 1 callersFunctioncsr_to_problem_nojit
(l, x_val, x_ind, x_rowptr, prob_val, prob_ind, prob_rowptr)
python/liblinear/liblinear.py:154
↓ 1 callersFunctiondo_cross_validation
train.c:170
↓ 1 callersFunctiondo_cross_validation
matlab/train.c:111
↓ 1 callersFunctiondo_find_parameters
train.c:150
↓ 1 callersFunctiondo_find_parameters
matlab/train.c:89
↓ 1 callersFunctiondo_predict
predict.c:45
↓ 1 callersFunctiondo_predict
matlab/predict.c:59
↓ 1 callersMethoddot
linear.cpp:62
↓ 1 callersFunctiondscal_
blas/dscal.c:7
↓ 1 callersFunctionevaluations_scipy
evaluations_scipy(ty, pv) -> (ACC, MSE, SCC) ty, pv: ndarray Calculate accuracy, mean squared error and squared correlation coefficient
python/liblinear/commonutil.py:79
↓ 1 callersFunctionexit_with_help
matlab/libsvmread.c:21
↓ 1 callersFunctionfake_answer
matlab/libsvmwrite.c:19
↓ 1 callersFunctionfree_model_content
linear.cpp:3664
↓ 1 callersMethodget_decfun_bias
(self, label_idx=0)
python/liblinear/liblinear.py:418
↓ 1 callersMethodget_decfun_coef
(self, feat_idx, label_idx=0)
python/liblinear/liblinear.py:415
↓ 1 callersMethodget_decfun_rho
(self)
python/liblinear/liblinear.py:421
↓ 1 callersMethodget_diag_preconditioner
linear.cpp:317
↓ 1 callersFunctionget_labels
linear.cpp:3593
↓ 1 callersMethodget_nr_feature
(self)
python/liblinear/liblinear.py:403
↓ 1 callersFunctiongroup_classes
label: label name, start: begin of each class, count: #data of classes, perm: indices to the original data perm, length l, must be allocated before ca
linear.cpp:2543
↓ 1 callersMethodis_oneclass_model
(self)
python/liblinear/liblinear.py:439
↓ 1 callersMethodis_probability_model
(self)
python/liblinear/liblinear.py:433
↓ 1 callersMethodis_regression_model
(self)
python/liblinear/liblinear.py:436
↓ 1 callersFunctionlibsvmwrite
matlab/libsvmwrite.c:26
↓ 1 callersMethodlinesearch_and_update
On entry *f must be the function value of w On exit w is updated and *f is the new function value
newton.cpp:36
↓ 1 callersFunctionload_model
linear.cpp:3467
↓ 1 callersFunctionmain
()
python/setup.py:91
↓ 1 callersFunctionmatlab_matrix_to_model
matlab/linear_model_matlab.c:112
↓ 1 callersFunctionmax
newton.cpp:12
↓ 1 callersFunctionmin
newton.cpp:8
↓ 1 callersFunctionmodel_to_matlab_structure
matlab/linear_model_matlab.c:27
↓ 1 callersFunctionoutput_target
svm-scale.c:358
↓ 1 callersFunctionparse_command_line
train.c:211
next →1–100 of 176, ranked by callers