Commit 80f5fab1 authored by yepremyana's avatar yepremyana Committed by Mitar
Browse files

sklearn-wrap - v2020.1.9 d3m core

parent 672c5b40
......@@ -57,3 +57,7 @@ archive/v2019.11.10/RPI/d3m.primitives.feature_selection.score_based_markov_blan
archive/v2019.11.10/RPI/d3m.primitives.feature_selection.simultaneous_markov_blanket.AutoRPI/v2019.11.10/pipeline_runs/6bb4ac72-12d8-4e0e-9995-925085878ca2_run.yml.gz filter=lfs diff=lfs merge=lfs -text
archive/v2019.11.10/RPI/d3m.primitives.feature_selection.joint_mutual_information.AutoRPI/v2019.11.10/pipeline_runs/b534ba8e-7c20-4452-b2c7-eca4f36e6817_run.yml.gz filter=lfs diff=lfs merge=lfs -text
archive/v2019.11.10/RPI/d3m.primitives.feature_selection.simultaneous_markov_blanket.AutoRPI/v2019.11.10/pipeline_runs/c68e9e01-c0ad-4c3a-9fb0-ad9c55c01f32_run.yml.gz filter=lfs diff=lfs merge=lfs -text
archive/v2019.11.10/JPL/d3m.primitives.data_preprocessing.tfidf_vectorizer.SKlearn/2019.6.7/pipeline_runs/pipeline_run.yml.gz filter=lfs diff=lfs merge=lfs -text
v2020.1.9/JPL/d3m.primitives.data_preprocessing.count_vectorizer.SKlearn/2019.11.13/pipeline_runs/pipeline_run.yml.gz filter=lfs diff=lfs merge=lfs -text
archive/v2019.11.10/JPL/d3m.primitives.data_preprocessing.count_vectorizer.SKlearn/2019.6.7/pipeline_runs/pipeline_run.yml.gz filter=lfs diff=lfs merge=lfs -text
v2020.1.9/JPL/d3m.primitives.data_preprocessing.tfidf_vectorizer.SKlearn/2019.11.13/pipeline_runs/pipeline_run.yml.gz filter=lfs diff=lfs merge=lfs -text
{
"id": "086ae1c1-1eb8-484f-bebd-597e6fa1df80",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:04.695045Z",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.4.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"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "inputs.0"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"version": "0.6.0",
"python_path": "d3m.primitives.data_transformation.column_parser.Common",
"name": "Parses strings into their types"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.0.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"version": "2019.11.13",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"name": "sklearn.impute.SimpleImputer"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.1.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"use_semantic_types": {
"type": "VALUE",
"data": true
},
"return_result": {
"type": "VALUE",
"data": "replace"
}
}
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "4210a6a6-14ab-4490-a7dc-460763e70e55",
"version": "2019.11.13",
"python_path": "d3m.primitives.classification.ada_boost.SKlearn",
"name": "sklearn.ensemble.weight_boosting.AdaBoostClassifier"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
},
"outputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
}
},
"outputs": [
{
"id": "produce"
},
{
"id": "produce_feature_importances"
}
],
"hyperparams": {
"use_semantic_types": {
"type": "VALUE",
"data": true
},
"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.Common",
"name": "Construct pipeline predictions output"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.3.produce"
},
"reference": {
"type": "CONTAINER",
"data": "steps.0.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
}
]
}
\ No newline at end of file
{
"id": "598772e1-62f8-4c15-9961-b511435caa78",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:05.335641Z",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.4.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"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "inputs.0"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"version": "0.6.0",
"python_path": "d3m.primitives.data_transformation.column_parser.Common",
"name": "Parses strings into their types"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.0.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"version": "2019.11.13",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"name": "sklearn.impute.SimpleImputer"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.1.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"use_semantic_types": {
"type": "VALUE",
"data": true
},
"return_result": {
"type": "VALUE",
"data": "replace"
}
}
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "1b2a32a6-0ec5-3ca0-9386-b8b1f1b831d1",
"version": "2019.11.13",
"python_path": "d3m.primitives.classification.bagging.SKlearn",
"name": "sklearn.ensemble.bagging.BaggingClassifier"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
},
"outputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"use_semantic_types": {
"type": "VALUE",
"data": true
},
"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.Common",
"name": "Construct pipeline predictions output"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.3.produce"
},
"reference": {
"type": "CONTAINER",
"data": "steps.0.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
}
]
}
\ No newline at end of file
{
"id": "7d271949-ab41-43f3-81eb-701fef02ae79",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:05.442720Z",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.4.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"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "inputs.0"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"version": "0.6.0",
"python_path": "d3m.primitives.data_transformation.column_parser.Common",
"name": "Parses strings into their types"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.0.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"version": "2019.11.13",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"name": "sklearn.impute.SimpleImputer"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.1.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"use_semantic_types": {
"type": "VALUE",
"data": true
},
"return_result": {
"type": "VALUE",
"data": "replace"
}
}
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "dfb1004e-02ac-3399-ba57-8a95639312cd",
"version": "2019.11.13",
"python_path": "d3m.primitives.classification.bernoulli_naive_bayes.SKlearn",
"name": "sklearn.naive_bayes.BernoulliNB"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
},
"outputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"use_semantic_types": {
"type": "VALUE",
"data": true
},
"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.Common",
"name": "Construct pipeline predictions output"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.3.produce"
},
"reference": {
"type": "CONTAINER",
"data": "steps.0.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
}
]
}
\ No newline at end of file
{
"id": "d077c5be-3d33-489a-9a88-ad5bbd064cae",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:05.574286Z",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.4.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"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "inputs.0"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive":