Commit 876a5f7d authored by Sujen's avatar Sujen

Merge branch 'dataclean' into 'master'

add new example pipelines

See merge request datadrivendiscovery/primitives!326
parents ad2b1b62 c3a142c4
{"id": "d7c87943-512e-442d-8115-92603e221ce6", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-05-21T19:46:43.928993Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "ffca08229bc82d27e2d57c976783516fc6798752a37916b2b09a78eb759b6727"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "4b2ad84f9b1d4c906da37cd2c9ae5fc23c054a3e974be17ce6e75147d257cc3d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "052d44e9ecd16349f06695a93834d149b548dd028396da6489ed515904fac840"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.4.4", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "8c36c71cc0018d0566008dd256748672a4d686bf00174f2c17ae063238be7b29"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "0ae7d42d-f765-3348-a28c-57d94880aa6a", "version": "2019.4.4", "python_path": "d3m.primitives.classification.svc.SKlearn", "name": "sklearn.svm.classes.SVC", "digest": "ac92df6bc8251c73a600f664e21cb151fdf94a2b3016a14a937562ba897c839c"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "d8bac1a445d0108629b175c2d9386092251c562525785de182b49e5511a4b09a"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "39665c35960d3ce85440ec46895acc79a16b6fef1a513ab531d5b98b5ad19be6"}
\ No newline at end of file
{"id": "02e93b5f-064e-41c9-a370-75f465553c4b", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:51:10.855807Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "24de286ae9d4ff3142e3f20706c1f4b9f5ea95f9b1b58fe435a50b48eebdb472"}
\ 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"]}
\ No newline at end of file
{"id": "1a38f6c9-df83-41b2-a9ee-f1e211958030", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T19:01:00.670164Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "cdbb80e4-e9de-4caa-a710-16b5d727b959", "version": "0.1.0", "python_path": "d3m.primitives.regression.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree regressor", "digest": "f1edce990f367277143b5d9bd8f7f42c52c753b611c4512741fa5506b7a26b00"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "30e7b773552a3feec83f33ec6874a361663736639556e2f231ad99f685f8b70a"}
\ No newline at end of file
{"problem": "196_autoMpg_problem","full_inputs": ["196_autoMpg_dataset"],"train_inputs": ["196_autoMpg_dataset_TRAIN"],"test_inputs": ["196_autoMpg_dataset_TEST"],"score_inputs": ["196_autoMpg_dataset_SCORE"]}
\ No newline at end of file
{"id": "4189c4af-7590-489b-afad-87b71929110b", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T19:01:33.573574Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "cdbb80e4-e9de-4caa-a710-16b5d727b959", "version": "0.1.0", "python_path": "d3m.primitives.regression.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree regressor", "digest": "f1edce990f367277143b5d9bd8f7f42c52c753b611c4512741fa5506b7a26b00"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "bc69be99849959ec52143106c15c2f4f5e331e936e128ea57f989ca4fd261001"}
\ No newline at end of file
{"problem": "LL0_207_autoPrice_problem","full_inputs": ["LL0_207_autoPrice_dataset"],"train_inputs": ["LL0_207_autoPrice_dataset_TRAIN"],"test_inputs": ["LL0_207_autoPrice_dataset_TEST"],"score_inputs": ["LL0_207_autoPrice_dataset_SCORE"]}
\ No newline at end of file
{"id": "4b99cd4b-8eec-48c0-b62b-55408aa8923e", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:51:44.288227Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "b4caf08eb46c6e4404249121dbf3e35582192b2ac7125856828c25a9a95d9091"}
\ No newline at end of file
{"problem": "4550_MiceProtein_problem","full_inputs": ["4550_MiceProtein_dataset"],"train_inputs": ["4550_MiceProtein_dataset_TRAIN"],"test_inputs": ["4550_MiceProtein_dataset_TEST"],"score_inputs": ["4550_MiceProtein_dataset_SCORE"]}
\ No newline at end of file
{"id": "4f954fd0-050a-448c-b76e-6a81d96a29ea", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:50:35.276965Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "bbd0839f3a2784454adcc76d5013da92488ce533dcb5afc7b9db4a9287a5718a"}
\ No newline at end of file
{"problem": "1491_one_hundred_plants_margin_problem","full_inputs": ["1491_one_hundred_plants_margin_dataset"],"train_inputs": ["1491_one_hundred_plants_margin_dataset_TRAIN"],"test_inputs": ["1491_one_hundred_plants_margin_dataset_TEST"],"score_inputs": ["1491_one_hundred_plants_margin_dataset_SCORE"]}
\ No newline at end of file
{"id": "7da36973-3de6-4f33-861a-62f4abb5cf34", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T19:01:17.566404Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "cdbb80e4-e9de-4caa-a710-16b5d727b959", "version": "0.1.0", "python_path": "d3m.primitives.regression.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree regressor", "digest": "f1edce990f367277143b5d9bd8f7f42c52c753b611c4512741fa5506b7a26b00"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "c9254785b6ffc85faac8ac005986f60d7a5a8b79d8013b97d8b4812955828a34"}
\ No newline at end of file
{"problem": "26_radon_seed_problem","full_inputs": ["26_radon_seed_dataset"],"train_inputs": ["26_radon_seed_dataset_TRAIN"],"test_inputs": ["26_radon_seed_dataset_TEST"],"score_inputs": ["26_radon_seed_dataset_SCORE"]}
\ No newline at end of file
{"id": "90722d34-20f6-4db3-81d1-f3d1382ed36f", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:49:57.793086Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "0d896776138156ce65ad0400e10eb4ac13dbea3f7ee52f12fb658afe1704ee25"}
\ No newline at end of file
{"problem": "30_personae_problem","full_inputs": ["30_personae_dataset"],"train_inputs": ["30_personae_dataset_TRAIN"],"test_inputs": ["30_personae_dataset_TEST"],"score_inputs": ["30_personae_dataset_SCORE"]}
\ No newline at end of file
{"id": "97bf578b-286f-4912-a103-2d2217e73fc2", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:50:15.266982Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "f8c0bd1b4cfcefe56113d8dffd7e1fab734575cab7035af422cee00825bdeb55"}
\ 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"]}
\ No newline at end of file
{"id": "b0f4a6f7-e9a0-4651-9f2a-c8bb9e1261b8", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:52:24.017056Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "41d143df841b3b2bcd0dfb5735c4eaad647eaabc0c9c3dda337ecc4415b0cdab"}
\ No newline at end of file
{"problem": "LL0_acled_reduced_problem","full_inputs": ["LL0_acled_reduced_dataset"],"train_inputs": ["LL0_acled_reduced_dataset_TRAIN"],"test_inputs": ["LL0_acled_reduced_dataset_TEST"],"score_inputs": ["LL0_acled_reduced_dataset_SCORE"]}
\ No newline at end of file
{"id": "b1f2a68c-8453-415b-9cf3-dff2ea4fb69e", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:52:04.142138Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "d007aa3169159de1b3a1c23b25600b82dcddeecc830f8d03e1a47b0b8fe3ea67"}
\ No newline at end of file
{"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"]}
\ No newline at end of file
{"id": "b8742bcb-368a-4617-b7f3-b3ebf755c9ca", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-06-27T18:51:27.517244Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "a141e6821de7ae586968b0986237745a5510850e6940cf946db9d50d3828b030"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "fc6bf33a-f3e0-3496-aa47-9a40289661bc", "version": "3.0.1", "python_path": "d3m.primitives.data_cleaning.data_cleaning.Datacleaning", "name": "Data cleaning", "digest": "1511f395382c93f717627a45e14597df23dea86db5b9846e35c5e1cfa5c73816"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.5.0", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "name": "Parses strings into their types", "digest": "d95eb0ea8a5e6f9abc0965a97e9c4f5d8f74a3df591c11c4145faea3e581cd06"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "d016df89-de62-3c53-87ed-c06bb6a23cde", "version": "2019.6.7", "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn", "name": "sklearn.impute.SimpleImputer", "digest": "d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"return_result": {"type": "VALUE", "data": "replace"}, "use_semantic_types": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "fe0841b7-6e70-4bc3-a56c-0670a95ebc6a", "version": "0.1.0", "python_path": "d3m.primitives.classification.xgboost_gbtree.DataFrameCommon", "name": "XGBoost GBTree classifier", "digest": "92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"add_index_columns": {"type": "VALUE", "data": true}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "name": "Construct pipeline predictions output", "digest": "96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "eedeba300b30cc52e024507fc4dc874f2cf8b03a1ace978d5f0871e832cee800"}
\ No newline at end of file
{"problem": "38_sick_problem","full_inputs": ["38_sick_dataset"],"train_inputs": ["38_sick_dataset_TRAIN"],"test_inputs": ["38_sick_dataset_TEST"],"score_inputs": ["38_sick_dataset_SCORE"]}
\ No newline at end of file
{
"problem": "30_personae_problem",
"full_inputs": [
"30_personae_dataset"
],
"train_inputs": [
"30_personae_dataset_TRAIN"
],
"test_inputs": [
"30_personae_dataset_TEST"
],
"score_inputs": [
"30_personae_dataset_SCORE"
]
}
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