Commit 1117b267 authored by Peter Lin's avatar Peter Lin

add LupiRegressor


Former-commit-id: d3c9064b
parent 30c31cbb
{
"created": "2019-06-27T17:58:33.186125Z",
"id": "ta1-perspecta-pipeline-lupiregressor-heart",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.7.produce",
"name": "output predictions"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"steps": [
{
"arguments": {
"inputs": {
"data": "inputs.0",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "f31f8c1f-d1c5-43e5-a4b2-2ae4a761ef2e",
"name": "Denormalize datasets",
"python_path": "d3m.primitives.data_transformation.denormalize.Common",
"version": "0.2.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.0.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
"version": "0.3.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.1.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"C_gridsearch": {
"data": {
"encoding": "pickle",
"value": "gANHwBAAAAAAAABHQDSAAAAAAABHP+zMzMzMzM2HcQAu"
},
"type": "VALUE"
},
"exclude_input_columns": {
"data": [
0,
1
],
"type": "VALUE"
},
"gamma_gridsearch": {
"data": {
"encoding": "pickle",
"value": "gANHwBAAAAAAAABHQDSAAAAAAABHP+zMzMzMzM2HcQAu"
},
"type": "VALUE"
},
"use_semantic_types": {
"data": true,
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "ace7ea27-7cac-4f2b-b739-d76682b0eda1",
"name": "lupi_regressor.lupiregressor.LupiRegressor",
"python_path": "d3m.primitives.data_preprocessing.lupi_regressor.lupiregressor.LupiRegressor",
"version": "v5.0.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.2.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"semantic_types": {
"data": [
"https://metadata.datadrivendiscovery.org/types/TrueTarget"
],
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"name": "Extracts columns by semantic type",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
"version": "0.3.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.1.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
"version": "0.5.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.2.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"semantic_types": {
"data": [
"https://metadata.datadrivendiscovery.org/types/Attribute"
],
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"name": "Extracts columns by semantic type",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
"version": "0.3.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.5.produce",
"type": "CONTAINER"
},
"outputs": {
"data": "steps.3.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"max_depth": {
"data": {
"case": "int",
"value": 10
},
"type": "VALUE"
},
"n_estimators": {
"data": 100,
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "1dd82833-5692-39cb-84fb-2455683075f3",
"name": "sklearn.ensemble.forest.RandomForestClassifier",
"python_path": "d3m.primitives.classification.random_forest.SKlearn",
"version": "2019.6.7"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.6.produce",
"type": "CONTAINER"
},
"reference": {
"data": "steps.1.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
"version": "0.3.0"
},
"type": "PRIMITIVE"
}
]
}
{
"problem": "uu5_heartstatlog_problem",
"full_inputs": ["uu5_heartstatlog_dataset"],
"train_inputs": ["uu5_heartstatlog_dataset_TRAIN"],
"test_inputs": ["uu5_heartstatlog_dataset_TEST"],
"score_inputs": ["uu5_heartstatlog_dataset_SCORE"]
}
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