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Functions632 in github.com/david-cortes/isotree

Methoddeserialize_template
src/oop_interface.cpp:758
Methoddrop_from_tail
src/utils.hpp:888
Methoddrop_imputer
Drops the imputer sub-object from this model object Drops the imputer sub-object from this model object, if it was fitted with data
isotree/__init__.py:3954
Methoddrop_indexer
Drops the indexer sub-object from this model object Drops the indexer sub-object from this model object, if it was constructed.
isotree/__init__.py:3970
Methoddrop_reference_points
Drops reference points from this model Drops any reference points used for distance and/or kernel calculations from the mode
isotree/__init__.py:3989
Functionduplicate_altrepped_pointer
src/Rwrapper.cpp:337
Functioneval_guided_crit
src/crit.hpp:3064
Functioneval_guided_crit_weighted
src/crit.hpp:3128
Functionexpected_avg_depth
src/utils.hpp:159
Functionexpected_sd_cat
src/crit.hpp:995
Functionexpected_sd_cat_internal
src/crit.hpp:1057
Functionexpected_sd_cat_single
src/crit.hpp:1023
Functionexpected_sd_cat_weighted
src/crit.hpp:1123
Methodexport_model
Export Isolation Forest model Save Isolation Forest model to a serialized file along with its metadata, in order to be re-us
isotree/__init__.py:3075
Functionfind_split_dens
src/crit.hpp:2653
Functionfind_split_dens_longform
src/crit.hpp:2559
Functionfind_split_dens_longform_weighted
src/crit.hpp:2605
Functionfind_split_dens_shortform
src/crit.hpp:2383
Functionfind_split_dens_shortform_t
src/crit.hpp:2339
Functionfind_split_dens_shortform_weighted
src/crit.hpp:2449
Functionfind_split_dens_shortform_weighted_t
src/crit.hpp:2392
Functionfind_split_dens_weighted
src/crit.hpp:2663
Functionfind_split_full_gain
src/crit.hpp:1733
Functionfind_split_full_gain_weighted
src/crit.hpp:2001
Functionfind_split_rel_gain
src/crit.hpp:1318
Functionfind_split_rel_gain_t
src/crit.hpp:1287
Functionfind_split_rel_gain_weighted
src/crit.hpp:1405
Functionfind_split_rel_gain_weighted_t
src/crit.hpp:1370
Functionfind_split_std_gain
src/crit.hpp:1543
Functionfind_split_std_gain_t
src/crit.hpp:1505
Functionfind_split_std_gain_weighted
src/crit.hpp:1553
Functionfit_iforest_internal
src/fit_model.hpp:660
Functionfit_itree
src/fit_model.hpp:1739
Methodfit_transform
Scikit-Learn pipeline-compatible version of 'fit_predict' Will fit the model and output imputed missing values. Intended to be used
isotree/__init__.py:2747
Functiongather_sim_result
src/dist.hpp:1071
Functionget_ExtIsoForest
src/python_helpers.hpp:80
Functionget_Imputer
src/python_helpers.hpp:85
Functionget_Indexer
src/python_helpers.hpp:90
Functionget_IsoForest
src/python_helpers.hpp:75
Functionget_altrep_obj_class
src/Rwrapper.cpp:236
Functionget_altrepped_pointer
src/Rwrapper.cpp:269
Functionget_default_isotree_parameters
Note: this returns an 'isotree_parameters' type, but the function that fits the model requires instead an 'isotree_parameters_t' object. See below
include/isotree_c.h:246
Functionget_element_from_altrepped_obj
src/Rwrapper.cpp:254
Methodget_feature_names_out
(self)
isotree/__init__.py:2741
Functionget_has_openmp
src/python_helpers.hpp:95
Functionget_isotree_parameters
src/c_interface.cpp:212
Functionget_ntrees
[[Rcpp::export(rng = false)]]
src/Rwrapper.cpp:3039
Functionget_num_nodes
src/instantiate_template_headers.hpp:231
Functionget_pointer_from_altrep
src/Rwrapper.cpp:414
Functionget_pointer_from_xptr
src/Rwrapper.cpp:420
Functionharmonic
src/utils.hpp:139
Methodhas_indexer_
(self)
isotree/__init__.py:4041
Methodhas_reference_points_
(self)
isotree/__init__.py:4045
Functionhas_wchar_t_file_serializers
src/serialize.cpp:407
Methodimport_model
Load an Isolation Forest model exported from R or Python Loads a serialized Isolation Forest model as produced and exported
isotree/__init__.py:3209
Functionimpute_missing_values
src/instantiate_template_headers.hpp:198
Functionimpute_missing_values_internal
src/impute.hpp:173
Functioninitialize_imputer
src/impute.hpp:297
Functioninspect_altrepped_pointer
src/Rwrapper.cpp:407
Functionisotree_build_indexer
src/c_interface.cpp:913
Functionisotree_copy_model
src/c_interface.cpp:934
Functionisotree_deserialize_from_file
src/c_interface.cpp:673
Functionisotree_deserialize_from_raw
src/c_interface.cpp:762
Functionisotree_get_ntrees
src/c_interface.cpp:895
Functionisotree_get_num_reference_points
src/c_interface.cpp:585
Functionisotree_get_num_threads
src/c_interface.cpp:884
Functionisotree_impute
src/c_interface.cpp:498
Functionisotree_predict_distance
src/c_interface.cpp:442
Functionisotree_predict_distance_to_ref_points
src/c_interface.cpp:597
Functionisotree_serialize_get_raw_size
src/c_interface.cpp:701
Functionisotree_serialize_to_file
src/c_interface.cpp:644
Functionisotree_serialize_to_raw
src/c_interface.cpp:729
Functionisotree_set_num_threads
src/c_interface.cpp:865
Functionisotree_set_reference_points
src/c_interface.cpp:541
Functionmain
example/isotree_c_ex.c:29
Functionmain
example/isotree_cpp_oop_ex.cpp:32
Functionmain
example/isotree_cpp_ex.cpp:38
Functionmain
gen_tables/gen_tables.c:37
Methodmax
src/xoshiro.hpp:181
Methodmin
src/xoshiro.hpp:110
Methodmin
src/xoshiro.hpp:176
Methodoperator()
src/xoshiro.hpp:147
Methodoperator()
src/xoshiro.hpp:230
Methodoperator()
src/xoshiro.hpp:305
Methodoperator()
src/xoshiro.hpp:352
Methodoperator()
src/xoshiro.hpp:395
Methodpartial_fit
Add additional (single) tree to isolation forest model Adds a single tree fit to the full (non-subsampled) data passed here. Must
isotree/__init__.py:2790
Methodplot_tree
Plot a single tree from the model Plots a single tree from the model, as a matplotlib plot. Note ---- One m
isotree/__init__.py:3577
Functionpredict_iforest
src/instantiate_template_headers.hpp:160
Methodpredict_kernel
Predict isolation kernel between points This is a shorthand for ``predict_distance`` with ``output="kernel"``. Parameters
isotree/__init__.py:2642
Functionpy_strerrorlen_s
src/python_helpers.hpp:104
Functionread_bytes
src/serialize.cpp:476
Functionreconstruct_csr_with_categ
src/other_helpers.hpp:130
Functionreturn_EXIT_FAILURE
src/utils.hpp:3786
Functionreturn_EXIT_SUCCESS
Return the #def'd constants from standard header. This is in order to determine if the return value from the 'fit_model' function is a success or f
src/utils.hpp:3782
Functionsafe_CastString
src/Rwrapper.cpp:1886
Functionsafe_FALSE
src/Rwrapper.cpp:129
Functionsafe_XPtr
src/Rwrapper.cpp:119
Functionsafe_copy_intvec
src/Rwrapper.cpp:104
Functionsafe_copy_vec
src/Rwrapper.cpp:98
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