Commit c90cfb12 authored by Zijun Cui's avatar Zijun Cui

update two pipelines

parent 8cff4e3e
{
"context": "TESTING",
"created": "2019-05-27T17:48:35.702381Z",
"id": "e42e5acf-bd46-4eb8-956b-0ba61e3eaf36",
"created": "2019-05-30T01:13:01.093650Z",
"digest": "bc74c82e669a18d2f23ecc2e9d66442f527cdb7704e3b6a65779fc542e8974fb",
"id": "6790b27e-2d0d-48bb-b6a3-6457f91b6e6a",
"inputs": [
{
"name": "inputs"
......@@ -9,7 +10,7 @@
],
"outputs": [
{
"data": "steps.8.produce",
"data": "steps.7.produce",
"name": "output predictions"
}
],
......@@ -28,6 +29,7 @@
}
],
"primitive": {
"digest": "6ee6b94c42491892321d83c7a88a6a93b173c532d9783eafd520c7fd4bd03c55",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -62,6 +64,7 @@
}
],
"primitive": {
"digest": "bcabd4bbcd8903d04f238730e9603b13537b8ab617a0fec281a8f74df5922ea1",
"id": "3002bc5b-fa47-4a3d-882e-a8b5f3d756aa",
"name": "Remove semantic types from columns",
"python_path": "d3m.primitives.data_transformation.remove_semantic_types.DataFrameCommon",
......@@ -82,6 +85,7 @@
}
],
"primitive": {
"digest": "edad77a01c547b5142cb3d58cbd526982cbea5aeb227395bee7bcebe9f80687c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -110,6 +114,7 @@
}
],
"primitive": {
"digest": "67977ed362c96178cd3e61cafd94f84e17a288cf5ed9c5f2f5a0cb81a99f77bc",
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"name": "Extracts columns by semantic type",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
......@@ -138,6 +143,7 @@
}
],
"primitive": {
"digest": "67977ed362c96178cd3e61cafd94f84e17a288cf5ed9c5f2f5a0cb81a99f77bc",
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"name": "Extracts columns by semantic type",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
......@@ -168,9 +174,10 @@
}
],
"primitive": {
"id": "9d1a2e58-5f97-386c-babd-5a9b4e9b6d6c",
"name": "STMBplus_auto feature selector",
"python_path": "d3m.primitives.feature_selection.simultaneous_markov_blanket.AutoRPI",
"digest": "650d410e567ec6e7c1507b056a09507a2f7d5a6ade15b6196478afef4d65e8b0",
"id": "215f554e-15f4-4174-9743-03cddad91dc4",
"name": "S2TMBplus feature selector",
"python_path": "d3m.primitives.feature_selection.score_based_markov_blanket.RPI",
"version": "v2019.4"
},
"type": "PRIMITIVE"
......@@ -180,32 +187,6 @@
"inputs": {
"data": "steps.5.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"strategy": {
"data": "most_frequent",
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"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",
......@@ -214,7 +195,7 @@
},
"hyperparams": {
"n_estimators": {
"data": 15,
"data": 18,
"type": "VALUE"
}
},
......@@ -224,6 +205,7 @@
}
],
"primitive": {
"digest": "b1c373d38eeffe7ca7e2fe12b7cae22b2518b9bef3cbf4c7b9167af3a972bee3",
"id": "1dd82833-5692-39cb-84fb-2455683075f3",
"name": "sklearn.ensemble.forest.RandomForestClassifier",
"python_path": "d3m.primitives.classification.random_forest.SKlearn",
......@@ -234,7 +216,7 @@
{
"arguments": {
"inputs": {
"data": "steps.7.produce",
"data": "steps.6.produce",
"type": "CONTAINER"
},
"reference": {
......@@ -248,6 +230,7 @@
}
],
"primitive": {
"digest": "68a8d025a517e89a358c7a8a837c196b446cbbf516a81504fd07cb0ec7c9a05a",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......@@ -256,4 +239,4 @@
"type": "PRIMITIVE"
}
]
}
}
\ No newline at end of file
{
"context": "TESTING",
"created": "2019-05-27T15:39:28.310528Z",
"id": "d4d885d2-6c11-4adf-a0d2-5e9977972e3e",
"created": "2019-05-30T01:09:48.748880Z",
"digest": "3667a229dfcd243ae8301a80ee93c7b25cbdced186580eafc6bef4d9231e105b",
"id": "6c085c18-7fb7-4d37-ab38-7e6d599d28e4",
"inputs": [
{
"name": "inputs"
......@@ -9,7 +10,7 @@
],
"outputs": [
{
"data": "steps.8.produce",
"data": "steps.7.produce",
"name": "output predictions"
}
],
......@@ -28,6 +29,7 @@
}
],
"primitive": {
"digest": "6ee6b94c42491892321d83c7a88a6a93b173c532d9783eafd520c7fd4bd03c55",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -62,6 +64,7 @@
}
],
"primitive": {
"digest": "bcabd4bbcd8903d04f238730e9603b13537b8ab617a0fec281a8f74df5922ea1",
"id": "3002bc5b-fa47-4a3d-882e-a8b5f3d756aa",
"name": "Remove semantic types from columns",
"python_path": "d3m.primitives.data_transformation.remove_semantic_types.DataFrameCommon",
......@@ -82,6 +85,7 @@
}
],
"primitive": {
"digest": "edad77a01c547b5142cb3d58cbd526982cbea5aeb227395bee7bcebe9f80687c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -110,6 +114,7 @@
}
],
"primitive": {
"digest": "67977ed362c96178cd3e61cafd94f84e17a288cf5ed9c5f2f5a0cb81a99f77bc",
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"name": "Extracts columns by semantic type",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
......@@ -138,6 +143,7 @@
}
],
"primitive": {
"digest": "67977ed362c96178cd3e61cafd94f84e17a288cf5ed9c5f2f5a0cb81a99f77bc",
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"name": "Extracts columns by semantic type",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
......@@ -168,6 +174,7 @@
}
],
"primitive": {
"digest": "650d410e567ec6e7c1507b056a09507a2f7d5a6ade15b6196478afef4d65e8b0",
"id": "215f554e-15f4-4174-9743-03cddad91dc4",
"name": "S2TMBplus feature selector",
"python_path": "d3m.primitives.feature_selection.score_based_markov_blanket.RPI",
......@@ -180,32 +187,6 @@
"inputs": {
"data": "steps.5.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"strategy": {
"data": "most_frequent",
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"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",
......@@ -214,7 +195,7 @@
},
"hyperparams": {
"n_estimators": {
"data": 28,
"data": 45,
"type": "VALUE"
}
},
......@@ -224,6 +205,7 @@
}
],
"primitive": {
"digest": "b1c373d38eeffe7ca7e2fe12b7cae22b2518b9bef3cbf4c7b9167af3a972bee3",
"id": "1dd82833-5692-39cb-84fb-2455683075f3",
"name": "sklearn.ensemble.forest.RandomForestClassifier",
"python_path": "d3m.primitives.classification.random_forest.SKlearn",
......@@ -234,7 +216,7 @@
{
"arguments": {
"inputs": {
"data": "steps.7.produce",
"data": "steps.6.produce",
"type": "CONTAINER"
},
"reference": {
......@@ -248,6 +230,7 @@
}
],
"primitive": {
"digest": "68a8d025a517e89a358c7a8a837c196b446cbbf516a81504fd07cb0ec7c9a05a",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......@@ -256,4 +239,4 @@
"type": "PRIMITIVE"
}
]
}
}
\ No newline at end of file
{
"created": "2019-05-28T00:59:33.228000Z",
"digest": "7cef6a8d42934a28e29a83fd6d17d19d7cd5ad63ac9f0f4501b1a0aee279f832",
"id": "c71bf746-7f7e-4efb-b851-844ded3935e9",
"created": "2019-05-30T00:59:04.694448Z",
"digest": "525470b824929487d7654cdaa882b8229e55986f4a6a4425bfae744f825294cb",
"id": "b5bc50bb-1911-4366-b171-d7247c9bd9bc",
"inputs": [
{
"name": "inputs"
......@@ -9,7 +9,7 @@
],
"outputs": [
{
"data": "steps.8.produce",
"data": "steps.7.produce",
"name": "output predictions"
}
],
......@@ -186,33 +186,6 @@
"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",
......@@ -221,7 +194,7 @@
},
"hyperparams": {
"n_estimators": {
"data": 28,
"data": 45,
"type": "VALUE"
}
},
......@@ -242,7 +215,7 @@
{
"arguments": {
"inputs": {
"data": "steps.7.produce",
"data": "steps.6.produce",
"type": "CONTAINER"
},
"reference": {
......
{
"created": "2019-05-28T01:01:59.148899Z",
"digest": "f26ec75155caf0f5535d84118bf807fc6ae2c89f3c08cd760c08cd5d4391fb92",
"id": "52671a05-e94a-466f-bbb6-c582b6805e2b",
"created": "2019-05-29T19:19:36.335618Z",
"digest": "89d7dc475bb33cedf603f39d83511407cc73ae6bae069b0687c386349fd75cbd",
"id": "f72b53ff-a9f0-445a-b103-dd7c73d293e5",
"inputs": [
{
"name": "inputs"
......@@ -9,7 +9,7 @@
],
"outputs": [
{
"data": "steps.8.produce",
"data": "steps.7.produce",
"name": "output predictions"
}
],
......@@ -173,10 +173,10 @@
}
],
"primitive": {
"digest": "0f2417376c3ad5b7f520b13e35438e1d57f46e95d994e58b8a33b4dc96afe5d1",
"id": "9d1a2e58-5f97-386c-babd-5a9b4e9b6d6c",
"name": "STMBplus_auto feature selector",
"python_path": "d3m.primitives.feature_selection.simultaneous_markov_blanket.AutoRPI",
"digest": "650d410e567ec6e7c1507b056a09507a2f7d5a6ade15b6196478afef4d65e8b0",
"id": "215f554e-15f4-4174-9743-03cddad91dc4",
"name": "S2TMBplus feature selector",
"python_path": "d3m.primitives.feature_selection.score_based_markov_blanket.RPI",
"version": "v2019.4"
},
"type": "PRIMITIVE"
......@@ -186,33 +186,6 @@
"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",
......@@ -221,7 +194,7 @@
},
"hyperparams": {
"n_estimators": {
"data": 15,
"data": 18,
"type": "VALUE"
}
},
......@@ -242,7 +215,7 @@
{
"arguments": {
"inputs": {
"data": "steps.7.produce",
"data": "steps.6.produce",
"type": "CONTAINER"
},
"reference": {
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment