Commit 63af718f authored by Zijun Cui's avatar Zijun Cui Committed by Mitar

update v2019.5.8

parent 7e02151c
{
"created": "2019-05-28T00:55:42.022588Z",
"digest": "c11160e7efb77d65ae391042226dd559b8677b5978425b14919f8b66e522df1d",
"id": "c1a2c5a2-676c-4763-874c-db9e83fb2927",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.5.produce",
"name": "output predictions"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"steps": [
{
"arguments": {
"inputs": {
"data": "inputs.0",
"type": "CONTAINER"
}
},
"hyperparams": {
"columns": {
"data": [
1
],
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "8f1f943036663ee0b1570bb2662824148b9352b60b49291311054ff50afb7123",
"id": "2eeff053-395a-497d-88db-7374c27812e6",
"name": "Column remover",
"python_path": "d3m.primitives.data_transformation.remove_columns.DatasetCommon",
"version": "0.2.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.0.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "748b3f6c9d26a4323a34a6da464c5de3dcab0d784a127819106acef1466e9550",
"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": {
"semantic_types": {
"data": [
"https://metadata.datadrivendiscovery.org/types/Attribute"
],
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "e1ef694b5642f037531be4f9a9c29aef62466b8e61dd8e174ccd673977761abb",
"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": "0.2.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.1.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"semantic_types": {
"data": [
"https://metadata.datadrivendiscovery.org/types/TrueTarget"
],
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "e1ef694b5642f037531be4f9a9c29aef62466b8e61dd8e174ccd673977761abb",
"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": "0.2.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.2.produce",
"type": "CONTAINER"
},
"outputs": {
"data": "steps.3.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"N0": {
"data": 8,
"type": "VALUE"
},
"nbins": {
"data": 7,
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "36857cad416eca8ebfe9360ab4397922dfaef26c1881c85b635764fba47c98dc",
"id": "2fa0afb2-1b7b-462d-a7c9-11b44efe9eb0",
"name": "Tree-Augmented Naive Bayes Classifier",
"python_path": "d3m.primitives.classification.tree_augmented_naive_bayes.BayesianInfRPI",
"version": "v2019.4"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.4.produce",
"type": "CONTAINER"
},
"reference": {
"data": "steps.1.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "bc09b1d3e656bbf5ed10a6b13382e8a52ffd18552f5803f28b25b79fbf25ca52",
"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"
}
]
}
\ No newline at end of file
{
"problem": "185_baseball_problem",
"full_inputs": [
"185_baseball_dataset"
],
"train_inputs": [
"185_baseball_dataset_TRAIN"
],
"test_inputs": [
"185_baseball_dataset_TEST"
],
"score_inputs": [
"185_baseball_dataset_SCORE"
]
}
{
"problem": "57_hypothyroid_problem",
"full_inputs": [
"57_hypothyroid_dataset"
],
"train_inputs": [
"57_hypothyroid_dataset_TRAIN"
],
"test_inputs": [
"57_hypothyroid_dataset_TEST"
],
"score_inputs": [
"57_hypothyroid_dataset_SCORE"
]
}
{
"created": "2019-05-28T01:01:59.148899Z",
"digest": "f26ec75155caf0f5535d84118bf807fc6ae2c89f3c08cd760c08cd5d4391fb92",
"id": "52671a05-e94a-466f-bbb6-c582b6805e2b",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.8.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": {
"digest": "748b3f6c9d26a4323a34a6da464c5de3dcab0d784a127819106acef1466e9550",
"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.0.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"columns": {
"data": [
7
],
"type": "VALUE"
},
"semantic_types": {
"data": [
"https://metadata.datadrivendiscovery.org/types/Attribute"
],
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "ecda17cbe2d71b20156467962846eeae1a7a5136e3520f36af42737b1e557834",
"id": "3002bc5b-fa47-4a3d-882e-a8b5f3d756aa",
"name": "Remove semantic types from columns",
"python_path": "d3m.primitives.data_transformation.remove_semantic_types.DataFrameCommon",
"version": "0.1.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.1.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "6deed8e4798fd219f4745c4459ba67036ed25dbb1d3a2459b24416cd4460951e",
"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": {
"digest": "e1ef694b5642f037531be4f9a9c29aef62466b8e61dd8e174ccd673977761abb",
"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": "0.2.0"
},
"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": {
"digest": "e1ef694b5642f037531be4f9a9c29aef62466b8e61dd8e174ccd673977761abb",
"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": "0.2.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.3.produce",
"type": "CONTAINER"
},
"outputs": {
"data": "steps.4.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"nbins": {
"data": 3,
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "0f2417376c3ad5b7f520b13e35438e1d57f46e95d994e58b8a33b4dc96afe5d1",
"id": "9d1a2e58-5f97-386c-babd-5a9b4e9b6d6c",
"name": "STMBplus_auto feature selector",
"python_path": "d3m.primitives.feature_selection.simultaneous_markov_blanket.AutoRPI",
"version": "v2019.4"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.5.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"strategy": {
"data": "most_frequent",
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "8c36c71cc0018d0566008dd256748672a4d686bf00174f2c17ae063238be7b29",
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"name": "sklearn.impute.SimpleImputer",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.6.produce",
"type": "CONTAINER"
},
"outputs": {
"data": "steps.4.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"n_estimators": {
"data": 15,
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "b1c373d38eeffe7ca7e2fe12b7cae22b2518b9bef3cbf4c7b9167af3a972bee3",
"id": "1dd82833-5692-39cb-84fb-2455683075f3",
"name": "sklearn.ensemble.forest.RandomForestClassifier",
"python_path": "d3m.primitives.classification.random_forest.SKlearn",
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.7.produce",
"type": "CONTAINER"
},
"reference": {
"data": "steps.0.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "bc09b1d3e656bbf5ed10a6b13382e8a52ffd18552f5803f28b25b79fbf25ca52",
"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"
}
]
}
\ No newline at end of file
{
"problem": "LL0_1100_popularkids_problem",
"full_inputs": [
"LL0_1100_popularkids_dataset"
],
"train_inputs": [
"LL0_1100_popularkids_dataset_TRAIN"
],
"test_inputs": [
"LL0_1100_popularkids_dataset_TEST"
],
"score_inputs": [
"LL0_1100_popularkids_dataset_SCORE"
]
}
{
"created": "2019-05-28T00:59:33.228000Z",
"digest": "7cef6a8d42934a28e29a83fd6d17d19d7cd5ad63ac9f0f4501b1a0aee279f832",
"id": "c71bf746-7f7e-4efb-b851-844ded3935e9",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.8.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": {
"digest": "748b3f6c9d26a4323a34a6da464c5de3dcab0d784a127819106acef1466e9550",
"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.0.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"columns": {
"data": [
65
],
"type": "VALUE"
},
"semantic_types": {
"data": [
"https://metadata.datadrivendiscovery.org/types/Attribute"
],
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "ecda17cbe2d71b20156467962846eeae1a7a5136e3520f36af42737b1e557834",
"id": "3002bc5b-fa47-4a3d-882e-a8b5f3d756aa",
"name": "Remove semantic types from columns",
"python_path": "d3m.primitives.data_transformation.remove_semantic_types.DataFrameCommon",
"version": "0.1.0"
},
"type": "PRIMITIVE"
},
{
"arguments": {
"inputs": {
"data": "steps.1.produce",
"type": "CONTAINER"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"digest": "6deed8e4798fd219f4745c4459ba67036ed25dbb1d3a2459b24416cd4460951e",
"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": {
"digest": "e1ef694b5642f037531be4f9a9c29aef62466b8e61dd8e174ccd673977761abb",