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www.flow.packs.test-small.glm_gbm_test_smtrees.flow Maven / Gradle / Ivy
{
"version": "1.0.0",
"cells": [
{
"type": "cs",
"input": "importFiles [ \"../smalldata/gbm_test/smtrees.csv\" ]"
},
{
"type": "cs",
"input": "setupParse paths: [ \"../smalldata/gbm_test/smtrees.csv\" ]"
},
{
"type": "cs",
"input": "parseFiles\n paths: [\"../smalldata/gbm_test/smtrees.csv\"]\n destination_frame: \"smtrees.hex\"\n parse_type: \"CSV\"\n separator: 44\n number_columns: 4\n single_quotes: false\n column_names: [\"\",\"girth\",\"height\",\"vol\"]\n column_types: [\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\"]\n delete_on_done: true\n check_header: 1\n chunk_size: 4194304"
},
{
"type": "cs",
"input": "getFrameSummary \"smtrees.hex\""
},
{
"type": "cs",
"input": "assist splitFrame, \"smtrees.hex\""
},
{
"type": "cs",
"input": "splitFrame \"smtrees.hex\", [0.25], [\"smtrees_test.hex_0.250\",\"smtrees_train.hex_0.750\"], 123456"
},
{
"type": "cs",
"input": "buildModel \"glm\""
},
{
"type": "cs",
"input": "buildModel 'glm', {\"model_id\":\"glm-00057be0-9574-4e9a-809b-213529180359\",\"training_frame\":\"smtrees_train.hex_0.750\",\"validation_frame\":\"smtrees_test.hex_0.250\",\"ignored_columns\":[],\"ignore_const_cols\":true,\"response_column\":\"vol\",\"family\":\"gaussian\",\"solver\":\"IRLSM\",\"alpha\":[0.3],\"lambda\":[0.002],\"lambda_search\":false,\"standardize\":false,\"non_negative\":false,\"score_each_iteration\":false,\"max_iterations\":-1,\"link\":\"family_default\",\"intercept\":true,\"objective_epsilon\":0.00001,\"beta_epsilon\":0.0001,\"gradient_epsilon\":0.0001,\"prior\":-1,\"max_active_predictors\":-1}"
},
{
"type": "cs",
"input": "getModel \"glm-00057be0-9574-4e9a-809b-213529180359\""
},
{
"type": "cs",
"input": "predict model: \"glm-00057be0-9574-4e9a-809b-213529180359\""
},
{
"type": "cs",
"input": "predict model: \"glm-00057be0-9574-4e9a-809b-213529180359\", frame: \"smtrees_test.hex_0.250\", predictions_frame: \"prediction-3613df85-611a-4d62-bef8-3b1c41f4d34d\""
}
]
}
