Setting certain parameters on Gradient Boosting Machine give StackOverflow

Description

Building a GBM model with a 33000 sources and 40 attributes training frame and these parameters:


{"model_id":"33k_GBM_MODEL","training_frame":"33K_frame","nfolds":0,"response_column":"CLASSIFICATION_TYPE","ignored_columns":[],"ignore_const_cols":true,"ntrees":200,"max_depth":9999,"min_rows":1,"nbins":20,"seed":1,"learn_rate":0.1,"sample_rate":1,"col_sample_rate":1,"score_each_iteration":false,"score_tree_interval":0,"balance_classes":false,"max_confusion_matrix_size":20,"max_hit_ratio_k":0,"nbins_top_level":1024,"nbins_cats":1024,"r2_stopping":1.7976931348623157e+308,"stopping_rounds":0,"stopping_metric":"AUTO","stopping_tolerance":0.001,"max_runtime_secs":0,"learn_rate_annealing":1,"distribution":"AUTO","huber_alpha":0.9,"col_sample_rate_per_tree":1,"min_split_improvement":0.00001,"histogram_type":"AUTO","categorical_encoding":"AUTO","monotone_constraints":[],"build_tree_one_node":false,"sample_rate_per_class":[],"col_sample_rate_change_per_level":1,"max_abs_leafnode_pred":1.7976931348623157e+308,"pred_noise_bandwidth":0,"calibrate_model":false,"check_constant_response":true}

Gives this Error:

 

Setting a smaller number for max_depth gives no error

Assignee

New H2O Bugs

Fix versions

None

Reporter

Lea Karbevska

Support ticket URL

None

Labels

Affected Spark version

None

Customer Request Type

None

Task progress

None

ReleaseNotesHidden

None

CustomerVisible

Yes

Support Assessment

Platform Issue

Components

Affects versions

Priority

Critical