Here is a list of all class members with links to the classes they belong to:

- i -

• I_m_AxA_batches : ML::ARIMAMemory< T, ALIGN >
• I_m_AxA_dense : ML::ARIMAMemory< T, ALIGN >
• I_m_AxA_info : ML::ARIMAMemory< T, ALIGN >
• I_m_AxA_inv_batches : ML::ARIMAMemory< T, ALIGN >
• I_m_AxA_inv_dense : ML::ARIMAMemory< T, ALIGN >
• I_m_AxA_P : ML::ARIMAMemory< T, ALIGN >
• ia : ML::Dbscan::VertexDeg::Pack< Type, Index_ >
• import() : ML::experimental::fil::treelite_importer< layout >
• import_to_specific_variant() : ML::experimental::fil::treelite_importer< layout >
• ImT_batches : ML::ARIMAMemory< T, ALIGN >
• ImT_dense : ML::ARIMAMemory< T, ALIGN >
• ImT_inv_batches : ML::ARIMAMemory< T, ALIGN >
• ImT_inv_dense : ML::ARIMAMemory< T, ALIGN >
• ImT_inv_info : ML::ARIMAMemory< T, ALIGN >
• ImT_inv_P : ML::ARIMAMemory< T, ALIGN >
• index() : ML::experimental::fil::node< layout_v, threshold_t, index_t, metadata_storage_t, offset_t > , ML::experimental::fil::node< layout_v, threshold_t, index_t, metadata_storage_t, offset_t >::value_type
• index_type : ML::experimental::fil::detail::bitset< index_t, storage_t > , ML::experimental::fil::detail::specialization_types< layout_v, double_precision, large_trees > , ML::experimental::fil::node< layout_v, threshold_t, index_t, metadata_storage_t, offset_t > , raft_proto::buffer< T >
• indices : ML::manifold_sparse_inputs_t< value_idx, T > , ML::rand_mat< math_t > , ML::SVM::SupportStorage< math_t >
• indptr : ML::manifold_sparse_inputs_t< value_idx, T > , ML::rand_mat< math_t > , ML::SVM::SupportStorage< math_t >
• init() : ML::HDBSCAN::FixConnectivitiesRedOp< value_idx, value_t > , ML::TSNEParams , ML::UMAPParams
• init_depth : cuml::genetic::param
• init_key() : ML::HDBSCAN::FixConnectivitiesRedOp< value_idx, value_t >
• init_method : cuml::genetic::param
• initial_alpha : ML::UMAPParams
• Initialize() : ML::SVM::SmoSolver< math_t >
• InitPenalty() : ML::SVM::SmoSolver< math_t >
• InstanceCount() : SparseTreeNode< DataT, LabelT, IdxT >
• InstructionShape : MLCommon::LinAlg::ThreadDiffSquaredAdd< AccumulatorsPerThread_, ThreadsPerWarp_, ScalarA_, ScalarB_, ScalarC_ > , MLCommon::LinAlg::ThreadL1NormAdd< AccumulatorsPerThread_, ThreadsPerWarp_, ScalarA_, ScalarB_, ScalarC_ >
• INVALID_HANDLE : ML::HandleMap
• io_type : ML::experimental::fil::decision_forest< layout_v, threshold_t, index_t, metadata_storage_t, offset_t > , ML::experimental::fil::forest< layout_v, threshold_t, index_t, metadata_storage_t, offset_t >
• is_categorical() : ML::experimental::fil::node< layout_v, threshold_t, index_t, metadata_storage_t, offset_t > , ML::experimental::fil::treelite_importer< layout >::treelite_node< tl_threshold_t, tl_output_t >
• is_double_precision : ML::experimental::fil::detail::specialization_types< layout_v, double_precision, large_trees > , ML::experimental::fil::forest_model
• is_inclusive() : ML::experimental::fil::treelite_importer< layout >::treelite_node< tl_threshold_t, tl_output_t >
• is_leaf() : ML::experimental::fil::node< layout_v, threshold_t, index_t, metadata_storage_t, offset_t > , ML::experimental::fil::treelite_importer< layout >::treelite_node< tl_threshold_t, tl_output_t >
• is_nonterminal() : cuml::genetic::node
• is_terminal() : cuml::genetic::node
• isFloat : ML::Internals::GraphBasedDimRedCallback
• IsLeaf() : SparseTreeNode< DataT, LabelT, IdxT >
• ivf_flat : ML::knnIndex
• ivf_pq : ML::knnIndex