Index A | C | D | E | F | G | I | L | M | N | P | R | S | T | U | V | W | X | Y | Z A abbreviate_species() (in module abil.utils) abil.analyze module abil.log_grid_search module abil.post module abil.predict module abil.tune module abil.unified_tree_or_bag module abil.utils module abil.zero_stratified_kfold module area_of_applicability() (in module abil.analyze) C calculate_volume() (abil.post.post.integration method) cwm() (abil.post.post method) D def_groups() (abil.post.post method) diversity() (abil.post.post method) do_exp() (abil.log_grid_search.LogGridSearch method) do_log() (abil.log_grid_search.LogGridSearch method) do_nothing() (abil.log_grid_search.LogGridSearch method) (in module abil.utils) E estimate_applicability() (abil.post.post method) estimate_carbon() (abil.post.post method) estimate_prediction_quantiles() (in module abil.unified_tree_or_bag) example_data() (in module abil.utils) export_csv() (abil.post.post method) export_ds() (abil.post.post method) export_model_config() (abil.post.post method) export_prediction() (in module abil.predict) F find_optimal_threshold() (in module abil.utils) fit() (abil.zir.ZeroInflatedRegressor method) G get_n_splits() (abil.zero_stratified_kfold.UpsampledZeroStratifiedKFold method) (abil.zero_stratified_kfold.ZeroStratifiedKFold method) I integrate_total() (abil.post.post.integration method) integrated_totals() (abil.post.post.integration method) inverse_weighting() (in module abil.utils) is_xgboost_model() (in module abil.utils) L load_model_and_scores() (in module abil.predict) LogGridSearch (class in abil.log_grid_search) M make_prediction() (abil.predict.predict method), [1] merge_env() (abil.post.post method) merge_obs() (abil.post.post method) merge_obs_env() (in module abil.utils) merge_parameters() (abil.post.post method) merge_parameters_single_model() (abil.post.post method) merge_performance() (abil.post.post method) merge_performance_single_model() (abil.post.post method) model_config (abil.tune.tune attribute) module abil.analyze abil.log_grid_search abil.post abil.predict abil.tune abil.unified_tree_or_bag abil.utils abil.zero_stratified_kfold N n_jobs (abil.predict.predict attribute) P path_out (abil.predict.predict attribute) post (class in abil.post) post.integration (class in abil.post) predict (class in abil.predict) predict() (abil.zir.ZeroInflatedRegressor method) process_resampled_runs() (abil.post.post method) R regions (abil.tune.tune attribute) S split() (abil.zero_stratified_kfold.UpsampledZeroStratifiedKFold method) (abil.zero_stratified_kfold.ZeroStratifiedKFold method) T target (abil.predict.predict attribute) target_no_space (abil.predict.predict attribute) total() (abil.post.post method) train() (abil.tune.tune method) transformed_fit() (abil.log_grid_search.LogGridSearch method) tune (class in abil.tune) U upsample() (in module abil.utils) UpsampledZeroStratifiedKFold (class in abil.zero_stratified_kfold) V verbose (abil.predict.predict attribute) W weighted_quantile() (in module abil.utils) X X_train (abil.tune.tune attribute) xgboost_get_n_estimators() (in module abil.utils) Y y (abil.tune.tune attribute) Z ZeroInflatedRegressor (class in abil.zir) ZeroStratifiedKFold (class in abil.zero_stratified_kfold)