Commit f0833cc3 authored by Numa Dhamani's avatar Numa Dhamani Committed by Mitar

Nd/v5.8

parent 03ca0149
{"id": "eed52bae-907d-47c3-b023-ad82fb0e0b4d", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-05-21T20:41:06.213029Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.2.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "f31f8c1f-d1c5-43e5-a4b2-2ae4a761ef2e", "version": "0.2.0", "python_path": "d3m.primitives.data_transformation.denormalize.Common", "name": "Denormalize datasets", "digest": "be65aa8b920356392be6ecf2a3244c06d87d8611a2379e0bbba6ad92b4b5ffb9"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"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": "b8251591d8f5f03e1c4d3ec740016c386ad6c20216cfd7d7dd9b8b2e3ab0595f"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"dataframe_resource": {"type": "VALUE", "data": "learningData"}}}, {"type": "PRIMITIVE", "primitive": {"id": "475c26dc-eb2e-43d3-acdb-159b80d9f099", "version": "1.1.0", "python_path": "d3m.primitives.digital_image_processing.unicorn.Unicorn", "name": "unicorn", "digest": "8de15df52da42a0aa093c7c5cfc9350f6c2a36f439600f19b7ead83cf5067521"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"target_columns": {"type": "VALUE", "data": ["filename"]}, "output_labels": {"type": "VALUE", "data": ["label"]}}}], "digest": "e42e46c96ee71ff74286891cb52c56a6cc1f214063f4659280c48fe964dffd66"}
\ No newline at end of file
{
"problem": "124_188_usps_problem",
"full_inputs": [
"124_188_usps_dataset"
],
"train_inputs": [
"124_188_usps_dataset_TRAIN"
],
"test_inputs": [
"124_188_usps_dataset_TEST"
],
"score_inputs": [
"124_188_usps_dataset_SCORE"
]
}
{"id": "0261564e-5928-4d67-abd1-2def0acb236d", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2019-05-21T20:53:15.726411Z", "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": "b8251591d8f5f03e1c4d3ec740016c386ad6c20216cfd7d7dd9b8b2e3ab0595f"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "ef6f3887-b253-4bfd-8b35-ada449efad0c", "version": "3.1.1", "python_path": "d3m.primitives.feature_selection.rffeatures.Rffeatures", "name": "RF Features", "digest": "eb96ca06d8fcf873463a9570ddd1e03b1d9f5e7f2e4d213cdba13bfb727c1eb5"}, "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": "d268f582f5bf30206f1e43ef46f435576a30413132bc73279f3fca36937184eb"}, "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": "1dd82833-5692-39cb-84fb-2455683075f3", "version": "2019.4.4", "python_path": "d3m.primitives.classification.random_forest.SKlearn", "name": "sklearn.ensemble.forest.RandomForestClassifier", "digest": "b1c373d38eeffe7ca7e2fe12b7cae22b2518b9bef3cbf4c7b9167af3a972bee3"}, "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": "1fb337b1987ecedebfa35bbd80ac6125f4a7f71435b02d3b349ef5547588bb71"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "4b39e27190a0168f85f253120e4e8e6e77db075c58edc16e673fc3811124c8f9"}
\ 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"
]
}
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