java.lang.NullPointerException

JIRA | Kevin Normoyle | 2 years ago
  1. 0

    dataset is benign.csv When I added the response_column (not None..'FNDX' ..it worked okay) I didn't specify the response column, here pretty much all params (except training_frame) are None here's the DL parameters to build_model build_model parameters {'momentum_start': None, 'shuffle_training_data': None, 'keep_cross_validation_splits': None, 'expert_mode': None, 'missing_values_handling': None, 'average_activation': None, 'force_load_balance': None, 'score_training_samples': None, 'epochs': None, 'rate': None, 'seed': None, 'classification_stop': None, 'replicate_training_data': None, 'score_validation_sampling': None, 'n_folds': None, 'autoencoder': None, 'use_all_factor_levels': None, 'max_confusion_matrix_size': None, 'variable_importances': None, 'rate_annealing': None, 'score_duty_cycle': None, 'training_frame': u'benign.hex', 'max_w2': None, 'quiet_mode': None, 'fast_mode': None, 'nesterov_accelerated_gradient': None, 'checkpoint': None, 'balance_classes': None, 'epsilon': None, 'rho': None, 'hidden': None, 'validation_frame': u'benign.hex', 'response_column': None, 'single_node_mode': None, 'train_samples_per_iteration': None, 'adaptive_rate': None, 'momentum_ramp': None, 'ignored_columns': None, 'activation': None, 'diagnostics': None, 'target_ratio_comm_to_comp': None, 'regression_stop': None, 'score_each_iteration': None, 'override_with_best_model': None, 'initial_weight_distribution': None, 'max_after_balance_size': None, 'do_classification': None, 'score_interval': None, 'rate_decay': None, 'initial_weight_scale': None, 'loss': None, 'hidden_dropout_ratios': None, 'score_validation_samples': None, 'col_major': None, 'max_hit_ratio_k': None, 'input_dropout_ratio': None, 'l2': None, 'sparse': None, 'l1': None, 'sparsity_beta': None, 'class_sampling_factors': None, 'ignore_const_cols': None, 'destination_key': 'benign_dl.hex', 'momentum_stable': None} it got this: JSON call returned non-200 status with http://172.16.2.222:54321/2/ModelBuilders.json/deeplearning r.status_code: 500 r.headers: {'date': 'Fri, 21 Nov 2014 21:47:22 GMT', 'content-type': 'application/json'} r.text: {"schema_version":1,"schema_name":"HttpErrorV1","schema_type":"Iced","status_header":"500 Internal Server Error","errmsg":"NullPointerException: null","errurl":null,"stacktrace":["water.fvec.Frame.find(Frame.java:215)","hex.SupervisedModelBuilder.init(SupervisedModelBuilder.java:43)","hex.deeplearning.DeepLearning.init(DeepLearning.java:45)","hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:84)","hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:22)","water.api.Schema.createAndFillImpl(Schema.java:193)","water.api.Handler.handle(Handler.java:49)","water.api.RequestServer.handle(RequestServer.java:476)","water.api.RequestServer.serve(RequestServer.java:454)","water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:432)","java.lang.Thread.run(Thread.java:745)"]} The h2o requests (sandbox/commands.log) were: 2014-11-21 13:47:21.080242 -- Start http://172.16.2.222:54321/2/ImportFiles.json?path=/home/kevin/h2o-dev/smalldata/logreg 2014-11-21 13:47:21.174208 -- Start http://172.16.2.222:54321/ParseSetup.json?srcs=[nfs://home/kevin/h2o-dev/smalldata/logreg/benign.csv] 2014-11-21 13:47:21.250262 -- Start http://172.16.2.222:54321/Parse.json?srcs=[nfs://home/kevin/h2o-dev/smalldata/logreg/benign.csv]&checkHeader=1&ncols=14&sep=44&columnNames=[STR,OBS,AGMT,FNDX,HIGD,DEG,CHK,AGP1,AGMN,NLV,LIV,WT,AGLP,MST]&singleQuotes=False&hex=benign.hex&pType=CSV 2014-11-21 13:47:21.307276 -- Start http://172.16.2.222:54321/2/Jobs.json/$0301ac1002de32d4ffffffff$_b87eca3d1adb2e8b2ab8fcc241e64059? 2014-11-21 13:47:21.829600 -- Start http://172.16.2.222:54321/2/Jobs.json/$0301ac1002de32d4ffffffff$_b87eca3d1adb2e8b2ab8fcc241e64059? 2014-11-21 13:47:21.834685 -- Start http://172.16.2.222:54321/3/Frames.json/benign.hex?find_compatible_models=0&len=5&offset=0 2014-11-21 13:47:21.904951 -- Start http://172.16.2.222:54321/3/Frames.json/benign.hex?find_compatible_models=0&len=5&offset=0 2014-11-21 13:47:21.918578 -- Start http://172.16.2.222:54321/2/ModelBuilders.json? 2014-11-21 13:47:22.060133 -- Start http://172.16.2.222:54321/3/Frames.json/benign.hex?find_compatible_models=0&len=5&offset=0 2014-11-21 13:47:22.071247 -- Start http://172.16.2.222:54321/2/ModelBuilders.json/deeplearning #{'momentum_start': None, 'shuffle_training_data': None, 'keep_cross_validation_splits': None, 'expert_mode': None, 'missing_values_handling': None, 'average_activation': None, 'force_load_balance': None, 'score_training_samples': None, 'epochs': None, 'rate': None, 'seed': None, 'classification_stop': None, 'replicate_training_data': None, 'score_validation_sampling': None, 'n_folds': None, 'autoencoder': None, 'use_all_factor_levels': None, 'max_confusion_matrix_size': None, 'variable_importances': None, 'rate_annealing': None, 'score_duty_cycle': None, 'training_frame': u'benign.hex', 'max_w2': None, 'quiet_mode': None, 'fast_mode': None, 'nesterov_accelerated_gradient': None, 'checkpoint': None, 'balance_classes': None, 'epsilon': None, 'rho': None, 'hidden': None, 'validation_frame': u'benign.hex', 'response_column': None, 'single_node_mode': None, 'train_samples_per_iteration': None, 'adaptive_rate': None, 'momentum_ramp': None, 'ignored_columns': None, 'activation': None, 'diagnostics': None, 'target_ratio_comm_to_comp': None, 'regression_stop': None, 'score_each_iteration': None, 'override_with_best_model': None, 'initial_weight_distribution': None, 'max_after_balance_size': None, 'do_classification': None, 'score_interval': None, 'rate_decay': None, 'initial_weight_scale': None, 'loss': None, 'hidden_dropout_ratios': None, 'score_validation_samples': None, 'col_major': None, 'max_hit_ratio_k': None, 'input_dropout_ratio': None, 'l2': None, 'sparse': None, 'l1': None, 'sparsity_beta': None, 'class_sampling_factors': None, 'ignore_const_cols': None, 'destination_key': 'benign_dl.hex', 'momentum_stable': None}; ERROR 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: java.lang.NullPointerException 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.fvec.Frame.find(Frame.java:215) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.SupervisedModelBuilder.init(SupervisedModelBuilder.java:43) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.deeplearning.DeepLearning.init(DeepLearning.java:45) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:84) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:22) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.Schema.createAndFillImpl(Schema.java:193) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.Handler.handle(Handler.java:49) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.RequestServer.handle(RequestServer.java:476) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.RequestServer.serve(RequestServer.java:454) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:432) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at java.lang.Thread.run(Thread.java:745) ERROR

    JIRA | 2 years ago | Kevin Normoyle
    java.lang.NullPointerException
  2. 0

    dataset is benign.csv When I added the response_column (not None..'FNDX' ..it worked okay) I didn't specify the response column, here pretty much all params (except training_frame) are None here's the DL parameters to build_model build_model parameters {'momentum_start': None, 'shuffle_training_data': None, 'keep_cross_validation_splits': None, 'expert_mode': None, 'missing_values_handling': None, 'average_activation': None, 'force_load_balance': None, 'score_training_samples': None, 'epochs': None, 'rate': None, 'seed': None, 'classification_stop': None, 'replicate_training_data': None, 'score_validation_sampling': None, 'n_folds': None, 'autoencoder': None, 'use_all_factor_levels': None, 'max_confusion_matrix_size': None, 'variable_importances': None, 'rate_annealing': None, 'score_duty_cycle': None, 'training_frame': u'benign.hex', 'max_w2': None, 'quiet_mode': None, 'fast_mode': None, 'nesterov_accelerated_gradient': None, 'checkpoint': None, 'balance_classes': None, 'epsilon': None, 'rho': None, 'hidden': None, 'validation_frame': u'benign.hex', 'response_column': None, 'single_node_mode': None, 'train_samples_per_iteration': None, 'adaptive_rate': None, 'momentum_ramp': None, 'ignored_columns': None, 'activation': None, 'diagnostics': None, 'target_ratio_comm_to_comp': None, 'regression_stop': None, 'score_each_iteration': None, 'override_with_best_model': None, 'initial_weight_distribution': None, 'max_after_balance_size': None, 'do_classification': None, 'score_interval': None, 'rate_decay': None, 'initial_weight_scale': None, 'loss': None, 'hidden_dropout_ratios': None, 'score_validation_samples': None, 'col_major': None, 'max_hit_ratio_k': None, 'input_dropout_ratio': None, 'l2': None, 'sparse': None, 'l1': None, 'sparsity_beta': None, 'class_sampling_factors': None, 'ignore_const_cols': None, 'destination_key': 'benign_dl.hex', 'momentum_stable': None} it got this: JSON call returned non-200 status with http://172.16.2.222:54321/2/ModelBuilders.json/deeplearning r.status_code: 500 r.headers: {'date': 'Fri, 21 Nov 2014 21:47:22 GMT', 'content-type': 'application/json'} r.text: {"schema_version":1,"schema_name":"HttpErrorV1","schema_type":"Iced","status_header":"500 Internal Server Error","errmsg":"NullPointerException: null","errurl":null,"stacktrace":["water.fvec.Frame.find(Frame.java:215)","hex.SupervisedModelBuilder.init(SupervisedModelBuilder.java:43)","hex.deeplearning.DeepLearning.init(DeepLearning.java:45)","hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:84)","hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:22)","water.api.Schema.createAndFillImpl(Schema.java:193)","water.api.Handler.handle(Handler.java:49)","water.api.RequestServer.handle(RequestServer.java:476)","water.api.RequestServer.serve(RequestServer.java:454)","water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:432)","java.lang.Thread.run(Thread.java:745)"]} The h2o requests (sandbox/commands.log) were: 2014-11-21 13:47:21.080242 -- Start http://172.16.2.222:54321/2/ImportFiles.json?path=/home/kevin/h2o-dev/smalldata/logreg 2014-11-21 13:47:21.174208 -- Start http://172.16.2.222:54321/ParseSetup.json?srcs=[nfs://home/kevin/h2o-dev/smalldata/logreg/benign.csv] 2014-11-21 13:47:21.250262 -- Start http://172.16.2.222:54321/Parse.json?srcs=[nfs://home/kevin/h2o-dev/smalldata/logreg/benign.csv]&checkHeader=1&ncols=14&sep=44&columnNames=[STR,OBS,AGMT,FNDX,HIGD,DEG,CHK,AGP1,AGMN,NLV,LIV,WT,AGLP,MST]&singleQuotes=False&hex=benign.hex&pType=CSV 2014-11-21 13:47:21.307276 -- Start http://172.16.2.222:54321/2/Jobs.json/$0301ac1002de32d4ffffffff$_b87eca3d1adb2e8b2ab8fcc241e64059? 2014-11-21 13:47:21.829600 -- Start http://172.16.2.222:54321/2/Jobs.json/$0301ac1002de32d4ffffffff$_b87eca3d1adb2e8b2ab8fcc241e64059? 2014-11-21 13:47:21.834685 -- Start http://172.16.2.222:54321/3/Frames.json/benign.hex?find_compatible_models=0&len=5&offset=0 2014-11-21 13:47:21.904951 -- Start http://172.16.2.222:54321/3/Frames.json/benign.hex?find_compatible_models=0&len=5&offset=0 2014-11-21 13:47:21.918578 -- Start http://172.16.2.222:54321/2/ModelBuilders.json? 2014-11-21 13:47:22.060133 -- Start http://172.16.2.222:54321/3/Frames.json/benign.hex?find_compatible_models=0&len=5&offset=0 2014-11-21 13:47:22.071247 -- Start http://172.16.2.222:54321/2/ModelBuilders.json/deeplearning #{'momentum_start': None, 'shuffle_training_data': None, 'keep_cross_validation_splits': None, 'expert_mode': None, 'missing_values_handling': None, 'average_activation': None, 'force_load_balance': None, 'score_training_samples': None, 'epochs': None, 'rate': None, 'seed': None, 'classification_stop': None, 'replicate_training_data': None, 'score_validation_sampling': None, 'n_folds': None, 'autoencoder': None, 'use_all_factor_levels': None, 'max_confusion_matrix_size': None, 'variable_importances': None, 'rate_annealing': None, 'score_duty_cycle': None, 'training_frame': u'benign.hex', 'max_w2': None, 'quiet_mode': None, 'fast_mode': None, 'nesterov_accelerated_gradient': None, 'checkpoint': None, 'balance_classes': None, 'epsilon': None, 'rho': None, 'hidden': None, 'validation_frame': u'benign.hex', 'response_column': None, 'single_node_mode': None, 'train_samples_per_iteration': None, 'adaptive_rate': None, 'momentum_ramp': None, 'ignored_columns': None, 'activation': None, 'diagnostics': None, 'target_ratio_comm_to_comp': None, 'regression_stop': None, 'score_each_iteration': None, 'override_with_best_model': None, 'initial_weight_distribution': None, 'max_after_balance_size': None, 'do_classification': None, 'score_interval': None, 'rate_decay': None, 'initial_weight_scale': None, 'loss': None, 'hidden_dropout_ratios': None, 'score_validation_samples': None, 'col_major': None, 'max_hit_ratio_k': None, 'input_dropout_ratio': None, 'l2': None, 'sparse': None, 'l1': None, 'sparsity_beta': None, 'class_sampling_factors': None, 'ignore_const_cols': None, 'destination_key': 'benign_dl.hex', 'momentum_stable': None}; ERROR 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: java.lang.NullPointerException 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.fvec.Frame.find(Frame.java:215) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.SupervisedModelBuilder.init(SupervisedModelBuilder.java:43) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.deeplearning.DeepLearning.init(DeepLearning.java:45) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:84) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:22) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.Schema.createAndFillImpl(Schema.java:193) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.Handler.handle(Handler.java:49) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.RequestServer.handle(RequestServer.java:476) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.api.RequestServer.serve(RequestServer.java:454) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:432) 11-21 13:47:22.088 172.16.2.222:54321 6919 # Session WARN: at java.lang.Thread.run(Thread.java:745) ERROR

    JIRA | 2 years ago | Kevin Normoyle
    java.lang.NullPointerException
  3. 0

    Android: Saving Map State in Google map

    Stack Overflow | 11 months ago | Junie Negentien
    java.lang.RuntimeException: Unable to resume activity {com.ourThesis.junieNegentien2015/com.ourThesis.junieNegentien2015.MainActivity}: java.lang.NullPointerException
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    Root Cause Analysis

    1. java.lang.NullPointerException

      No message provided

      at water.fvec.Frame.find()
    2. water.fvec
      Frame.find
      1. water.fvec.Frame.find(Frame.java:215)
      1 frame
    3. hex
      SupervisedModelBuilder.init
      1. hex.SupervisedModelBuilder.init(SupervisedModelBuilder.java:43)
      1 frame
    4. hex.deeplearning
      DeepLearning.init
      1. hex.deeplearning.DeepLearning.init(DeepLearning.java:45)
      1 frame
    5. hex.schemas
      ModelBuilderSchema.fillImpl
      1. hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:84)
      2. hex.schemas.ModelBuilderSchema.fillImpl(ModelBuilderSchema.java:22)
      2 frames
    6. water.api
      RequestServer.serve
      1. water.api.Schema.createAndFillImpl(Schema.java:193)
      2. water.api.Handler.handle(Handler.java:49)
      3. water.api.RequestServer.handle(RequestServer.java:476)
      4. water.api.RequestServer.serve(RequestServer.java:454)
      4 frames
    7. water
      NanoHTTPD$HTTPSession.run
      1. water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:432)
      1 frame
    8. Java RT
      Thread.run
      1. java.lang.Thread.run(Thread.java:745)
      1 frame