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{
  "version": "1.0.0",
  "cells": [
    {
      "type": "cs",
      "input": "importFiles [ \"../smalldata/gbm_test/BostonHousing.csv\" ]"
    },
    {
      "type": "cs",
      "input": "setupParse paths: [ \"../smalldata/gbm_test/BostonHousing.csv\" ]"
    },
    {
      "type": "cs",
      "input": "parseFiles\n  paths: [\"../smalldata/gbm_test/BostonHousing.csv\"]\n  destination_frame: \"BostonHousing.hex\"\n  parse_type: \"CSV\"\n  separator: 44\n  number_columns: 14\n  single_quotes: false\n  column_names: [\"crim\",\"zn\",\"indus\",\"chas\",\"nox\",\"rm\",\"age\",\"dis\",\"rad\",\"tax\",\"ptratio\",\"b\",\"lstat\",\"medv\"]\n  column_types: [\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Enum\"]\n  delete_on_done: true\n  check_header: 1\n  chunk_size: 4194304"
    },
    {
      "type": "cs",
      "input": "getFrameSummary \"BostonHousing.hex\""
    },
    {
      "type": "cs",
      "input": "assist splitFrame, \"BostonHousing.hex\""
    },
    {
      "type": "cs",
      "input": "splitFrame \"BostonHousing.hex\", [0.3], [\"BostonHousing_test.hex_0.30\",\"BostonHousing_train.hex_0.70\"], 123456"
    },
    {
      "type": "cs",
      "input": "buildModel \"deeplearning\""
    },
    {
      "type": "cs",
      "input": "buildModel 'deeplearning', {\"model_id\":\"deeplearning-bf2b8c52-cb75-443a-ac02-e8f7fe81edb6\",\"training_frame\":\"BostonHousing_train.hex_0.70\",\"validation_frame\":\"BostonHousing_test.hex_0.30\",\"ignored_columns\":[],\"ignore_const_cols\":true,\"response_column\":\"medv\",\"activation\":\"Rectifier\",\"hidden\":[200,200],\"epochs\":10,\"variable_importances\":false,\"balance_classes\":false,\"max_confusion_matrix_size\":20,\"checkpoint\":\"\",\"use_all_factor_levels\":true,\"train_samples_per_iteration\":-2,\"adaptive_rate\":true,\"input_dropout_ratio\":0,\"l1\":0,\"l2\":0,\"loss\":\"Automatic\",\"score_interval\":5,\"score_training_samples\":10000,\"score_validation_samples\":0,\"score_duty_cycle\":0.1,\"autoencoder\":false,\"overwrite_with_best_model\":true,\"target_ratio_comm_to_comp\":0.02,\"seed\":3199894149081411000,\"rho\":0.99,\"epsilon\":1e-8,\"max_w2\":\"Infinity\",\"initial_weight_distribution\":\"UniformAdaptive\",\"classification_stop\":0,\"score_validation_sampling\":\"Uniform\",\"diagnostics\":true,\"fast_mode\":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}"
    },
    {
      "type": "cs",
      "input": "getModel \"deeplearning-bf2b8c52-cb75-443a-ac02-e8f7fe81edb6\""
    },
    {
      "type": "cs",
      "input": "predict model: \"deeplearning-bf2b8c52-cb75-443a-ac02-e8f7fe81edb6\""
    },
    {
      "type": "cs",
      "input": "predict model: \"deeplearning-bf2b8c52-cb75-443a-ac02-e8f7fe81edb6\", frame: \"BostonHousing_test.hex_0.30\", predictions_frame: \"prediction-357ee672-05f7-4ed1-9dc2-ff1dc3328c61\""
    }
  ]
}




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