exalate-issue-sync[bot]
commented
1 year ago Arno Candel commented: 8c2d070e3c1324c43d2ad7297920909d16e2ddc1
importFiles [ "hdfs://mr-0xd6.0xdata.loc/datasets/bigdata/1MRows_3.5kCols.csv" ]
setupParse paths: [ "hdfs://mr-0xd6.0xdata.loc/datasets/bigdata/1MRows_3.5kCols.csv" ]
parseFiles paths: ["hdfs://mr-0xd6.0xdata.loc/datasets/bigdata/1MRows_3.5kCols.csv"] destination_key: "X1MRows_3.hex" parse_type: "CSV" separator: 44 number_columns: 3501 single_quotes: false column_names: 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buildModel 'deeplearning', {"destination_key":"deeplearning-296ceeb4-2b62-4668-8d87-78a5466a2e3b","training_frame":"X1MRows_3.hex","dropNA20Cols":false,"response_column":"response","activation":"Rectifier","hidden":[50,50],"epochs":"1","variable_importances":false,"balance_classes":false,"checkpoint":"","use_all_factor_levels":true,"train_samples_per_iteration":-2,"adaptive_rate":true,"input_dropout_ratio":0,"hidden_dropout_ratios":[],"l1":0,"l2":0,"loss":"Automatic","score_interval":5,"score_training_samples":10000,"score_validation_samples":0,"score_duty_cycle":0.1,"replicate_training_data":true,"autoencoder":false,"class_sampling_factors":[],"max_after_balance_size":5,"max_confusion_matrix_size":20,"max_hit_ratio_k":10,"override_with_best_model":true,"target_ratio_comm_to_comp":0.02,"seed":-3964768397466991000,"rho":0.99,"epsilon":1e-8,"rate":0.005,"rate_annealing":0.000001,"rate_decay":1,"momentum_start":0,"momentum_ramp":1000000,"momentum_stable":0,"nesterov_accelerated_gradient":true,"max_w2":"Infinity","initial_weight_distribution":"UniformAdaptive","initial_weight_scale":1,"classification_stop":0,"regression_stop":0.000001,"score_validation_sampling":"Uniform","diagnostics":true,"fast_mode":true,"ignore_const_cols":true,"force_load_balance":true,"single_node_mode":false,"shuffle_training_data":false,"missing_values_handling":"MeanImputation","quiet_mode":false,"sparse":false,"col_major":false,"average_activation":0,"sparsity_beta":0,"max_categorical_features":2147483647,"reproducible":false,"export_weights_and_biases":false}
Finished training in 1 minute.
TIMESTAMP DURATION TRAINING_SPEED EPOCHS SAMPLES TRAINING_MSE TRAINING_R2 TRAINING_LOGLOSS TRAINING_AUC TRAINING_CLASSIFICATION_ERROR 2015-04-16 11:14:22 0.000 sec 0 0 - - - - - 2015-04-16 11:14:35 13.090 sec 7609.091 rows/sec 0.09960299730300903 99603 0.2551158497137589 -0.020364031762144963 0.714642391018456 0.529645698245903 0.49984840828701366 2015-04-16 11:15:15 53.287 sec 16874.228 rows/sec 0.8991770148277283 899177 0.2459799998600498 0.016175809258173413 0.685193753188538 0.5892505233137832 0.49540171803941385 2015-04-16 11:15:20 58.399 sec 17100.807 rows/sec 0.9986699819564819 998670 0.24439854324335983 0.022501019750870155 0.6816347513947157 0.5909290330213673 0.48913592723597776 2015-04-16 11:15:24 1 min 2.266 sec 17652.523 rows/sec 1.0991519689559937 1099152 0.24265007888326123 0.029494196168032616 0.6780789996103805 0.5969948687101132 0.48802425467407784
MSE 0.24265007888326123 R2 0.029494196168032616 LOGLOSS 0.6780789996103805 AUC 0.5969948687101132 GINI 0.1939897374202264
DinukaH2O
Steps to reproduce :
1) Start h2o on hadoop as below : h2o-dev-builds/h2o-dev-0.3.0.1134-hdp2.1$ hadoop jar h2odriver.jar -nodes 4 -mapperXmx 40g -output April-12-1 -baseport 55555 -flow_dir hdfs:///user/neeraja/myflow-1
2)importFiles [ "hdfs://mr-0xd6.0xdata.loc/datasets/bigdata/1MRows_3.5kCols.csv" ]
3) Parse 4) Build DL model as below : buildModel 'deeplearning', {"destination_key":"deeplearning-296ceeb4-2b62-4668-8d87-78a5466a2e3b","training_frame":"X1MRows_3.hex","dropNA20Cols":false,"response_column":"response","activation":"Rectifier","hidden":[50,50],"epochs":"1","variable_importances":false,"balance_classes":false,"checkpoint":"","use_all_factor_levels":true,"train_samples_per_iteration":-2,"adaptive_rate":true,"input_dropout_ratio":0,"hidden_dropout_ratios":[],"l1":0,"l2":0,"loss":"Automatic","score_interval":5,"score_training_samples":10000,"score_validation_samples":0,"score_duty_cycle":0.1,"replicate_training_data":true,"autoencoder":false,"class_sampling_factors":[],"max_after_balance_size":5,"max_confusion_matrix_size":20,"max_hit_ratio_k":10,"keep_cross_validation_splits":false,"override_with_best_model":true,"target_ratio_comm_to_comp":0.02,"seed":-3964768397466991000,"rho":0.99,"epsilon":1e-8,"rate":0.005,"rate_annealing":0.000001,"rate_decay":1,"momentum_start":0,"momentum_ramp":1000000,"momentum_stable":0,"nesterov_accelerated_gradient":true,"max_w2":"Infinity","initial_weight_distribution":"UniformAdaptive","initial_weight_scale":1,"classification_stop":0,"regression_stop":0.000001,"score_validation_sampling":"Uniform","diagnostics":true,"fast_mode":true,"ignore_const_cols":true,"force_load_balance":true,"single_node_mode":false,"shuffle_training_data":false,"missing_values_handling":"MeanImputation","quiet_mode":false,"sparse":false,"col_major":false,"average_activation":0,"sparsity_beta":0,"max_categorical_features":2147483647,"reproducible":false,"export_weights_and_biases":false}
Almost 50 mins and no progress .........