Hi Spencer,
I found the logs stored in /tmp/
Interestingly it seems that it was complaining on 'Can't unlock: Not locked!'
the logs show something different:
#######h2o_127.0.0.1_54321-3-info.log"
10-14 22:35:40.818
127.0.0.1:54321 32041 FJ-0-39 ERRR: _min_rows: The dataset size is too small to split for min_rows=10.0: must have at least 20.0 (weighted) rows, but have only 19.38260765603209.
#######h2o_127.0.0.1_54321-2-debug.log
10-14 22:35:40.817
127.0.0.1:54321 32041 FJ-0-39 INFO: Building H2O GBM model with these parameters:
10-14 22:35:40.817
127.0.0.1:54321 32041 FJ-0-39 INFO: {"_model_id":null,"_train":{"name":"GBM_model_R_1444875645239_55_cv_1_subset_5422_train","type":"Key"},"_valid":{"name":"GBM_model_R_1444875645239_55_cv_1_subset_5422_valid","type":"Key"},"_nfolds":0,"_keep_cross_validation_predictions":false,"_fold_assignment":"AUTO","_distribution":"AUTO","_tweedie_power":1.5,"_ignored_columns":["Date","ID","Int","Ido"],"_ignore_const_cols":true,"_weights_column":"weights","_offset_column":null,"_fold_column":null,"_score_each_iteration":false,"_response_column":"sumRet","_balance_classes":false,"_max_after_balance_size":5.0,"_class_sampling_factors":null,"_max_hit_ratio_k":10,"_max_confusion_matrix_size":20,"_checkpoint":null,"_ntrees":100,"_max_depth":10,"_min_rows":10.0,"_nbins":20,"_nbins_cats":1024,"_r2_stopping":0.999999,"_seed":-2484894243866892320,"_nbins_top_level":1024,"_build_tree_one_node":false,"_initial_score_interval":4000,"_score_interval":4000,"_learn_rate":0.1}
10-14 22:35:40.818
127.0.0.1:54321 32041 FJ-0-39 INFO: Dropping ignored columns: [Date, ID, Intercept, Idio]
10-14 22:35:40.818
127.0.0.1:54321 32041 FJ-0-39 ERRR: _min_rows: The dataset size is too small to split for min_rows=10.0: must have at least 20.0 (weighted) rows, but have only 19.38260765603209.
10-14 22:35:40.822
127.0.0.1:54321 32041 FJ-0-39 DEBUG: unlock GBM_model_R_1444875645239_55_cv_1_subset_5422_train by job $03017f00000132d4ffffffff$_a24300cbb0eb4b05e64a9fd6b5e046bb_cv0
I've removed the min row count and