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www.flow.packs.test-small.glm_test_Abalone.flow Maven / Gradle / Ivy
{
"version": "1.0.0",
"cells": [
{
"type": "cs",
"input": "importFiles [ \"../smalldata/glm_test/Abalone.gz\" ]"
},
{
"type": "cs",
"input": "setupParse paths: [ \"../smalldata/glm_test/Abalone.gz\" ]"
},
{
"type": "cs",
"input": "parseFiles\n paths: [\"../smalldata/glm_test/Abalone.gz\"]\n destination_frame: \"Abalone.hex\"\n parse_type: \"CSV\"\n separator: 32\n number_columns: 9\n single_quotes: false\n column_types: [\"Enum\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\",\"Numeric\"]\n delete_on_done: true\n check_header: -1\n chunk_size: 4194304"
},
{
"type": "cs",
"input": "getFrameSummary \"Abalone.hex\""
},
{
"type": "cs",
"input": "assist splitFrame, \"Abalone.hex\""
},
{
"type": "cs",
"input": "splitFrame \"Abalone.hex\", [0.25], [\"Abalone_test\",\"Abalone_train\"], 123456"
},
{
"type": "cs",
"input": "getFrameSummary \"Abalone_train\""
},
{
"type": "cs",
"input": "buildModel \"glm\""
},
{
"type": "cs",
"input": "buildModel 'glm', {\"model_id\":\"glm-c375c754-2e4e-470f-ac3b-94909a55e7b4\",\"training_frame\":\"Abalone_train\",\"validation_frame\":\"Abalone_test\",\"ignore_const_cols\":true,\"response_column\":\"C9\",\"family\":\"gaussian\",\"solver\":\"IRLSM\",\"alpha\":[1],\"lambda\":[],\"lambda_search\":true,\"nlambdas\":-1,\"standardize\":true,\"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,\"lambda_min_ratio\":-1,\"max_active_predictors\":-1}"
},
{
"type": "cs",
"input": "getModel \"glm-c375c754-2e4e-470f-ac3b-94909a55e7b4\""
},
{
"type": "cs",
"input": "predict model: \"glm-c375c754-2e4e-470f-ac3b-94909a55e7b4\""
},
{
"type": "cs",
"input": "predict model: \"glm-c375c754-2e4e-470f-ac3b-94909a55e7b4\", frame: \"Abalone.hex\", predictions_frame: \"prediction-459b3569-6251-4096-b530-c65431535588\""
}
]
}
