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Vowpal Wabbit
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Public Member Functions | |
| ~svm_params () | |
Public Attributes | |
| size_t | current_pass |
| bool | active |
| bool | active_pool_greedy |
| bool | para_active |
| double | active_c |
| size_t | pool_size |
| size_t | pool_pos |
| size_t | subsample |
| size_t | reprocess |
| svm_model * | model |
| size_t | maxcache |
| svm_example ** | pool |
| float | lambda |
| void * | kernel_params |
| size_t | kernel_type |
| size_t | local_begin |
| size_t | local_end |
| size_t | current_t |
| float | loss_sum |
| vw * | all |
| std::shared_ptr< rand_state > | _random_state |
Definition at line 90 of file kernel_svm.cc.
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inline |
Definition at line 121 of file kernel_svm.cc.
References free_svm_model(), num_cache_evals, num_kernel_evals, svm_model::num_support, and vw::trace_message.
| std::shared_ptr<rand_state> svm_params::_random_state |
Definition at line 119 of file kernel_svm.cc.
Referenced by train().
| bool svm_params::active |
Definition at line 93 of file kernel_svm.cc.
Referenced by train().
| double svm_params::active_c |
Definition at line 96 of file kernel_svm.cc.
Referenced by train().
| bool svm_params::active_pool_greedy |
Definition at line 94 of file kernel_svm.cc.
Referenced by train().
| vw* svm_params::all |
Definition at line 118 of file kernel_svm.cc.
Referenced by learn(), make_hot_sv(), predict(), save_load(), and train().
| size_t svm_params::current_pass |
Definition at line 92 of file kernel_svm.cc.
| size_t svm_params::current_t |
Definition at line 114 of file kernel_svm.cc.
| void* svm_params::kernel_params |
Definition at line 110 of file kernel_svm.cc.
Referenced by svm_example::compute_kernels().
| size_t svm_params::kernel_type |
Definition at line 111 of file kernel_svm.cc.
Referenced by svm_example::compute_kernels().
| float svm_params::lambda |
Definition at line 108 of file kernel_svm.cc.
| size_t svm_params::local_begin |
Definition at line 113 of file kernel_svm.cc.
Referenced by sync_queries().
| size_t svm_params::local_end |
Definition at line 113 of file kernel_svm.cc.
Referenced by sync_queries().
| float svm_params::loss_sum |
Definition at line 116 of file kernel_svm.cc.
Referenced by learn().
| size_t svm_params::maxcache |
Definition at line 104 of file kernel_svm.cc.
Referenced by train(), and trim_cache().
| svm_model* svm_params::model |
Definition at line 103 of file kernel_svm.cc.
Referenced by add(), svm_example::compute_kernels(), learn(), make_hot_sv(), predict(), save_load_svm_model(), train(), trim_cache(), and update().
| bool svm_params::para_active |
Definition at line 95 of file kernel_svm.cc.
Referenced by train().
| svm_example** svm_params::pool |
Definition at line 107 of file kernel_svm.cc.
Referenced by learn(), sync_queries(), and train().
| size_t svm_params::pool_pos |
Definition at line 99 of file kernel_svm.cc.
Referenced by learn(), sync_queries(), and train().
| size_t svm_params::pool_size |
Definition at line 98 of file kernel_svm.cc.
Referenced by learn(), sync_queries(), and train().
| size_t svm_params::reprocess |
Definition at line 101 of file kernel_svm.cc.
Referenced by train().
| size_t svm_params::subsample |
Definition at line 100 of file kernel_svm.cc.
Referenced by train().
1.8.13