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- Appendix A - Parameters
alphabalance_classesbeta_epsilonbinomial_double_treesbuild_tree_one_nodecategorical_encodingcheckpointclass_sampling_factorscol_sample_ratecol_sample_rate_change_per_levelcol_sample_rate_per_treecompute_p_valuesdistributionearly_stoppingestimate_kfamilyfold_assignmentfold_columngradient_epsilonhistogram_typehuber_alphaignore_const_colsignored_columnsinitinteractionsinterceptkkeep_cross_validation_fold_assignmentkeep_cross_validation_predictionslambdalambda_min_ratiolambda_searchlearn_ratelearn_rate_annealinglinkmax_abs_leafnode_predmax_active_predictorsmax_after_balance_sizemax_depthmax_hit_ratio_kmax_iterationsmax_runtime_secsmin_rowsmin_split_improvementmissing_values_handlingmodel_idmtriesnbinsnbins_catsnbins_top_levelnfoldsnlambdasnon_negativentreesobjective_epsilonoffset_columnpred_noise_bandwidthquantile_alpharemove_collinear_columnssample_ratesample_rate_per_classscore_each_iterationscore_tree_intervalseedsolverstandardizestopping_metricstopping_roundsstopping_tolerancetraining_frametweedie_link_powertweedie_powertweedie_variance_poweruser_pointsvalidation_frameweights_columny