Commit eeb2ea39 authored by Chinnu Pittapally's avatar Chinnu Pittapally Committed by Sujen

Pipeline updates

parent d6219073
{
"problem": "31_urbansound_problem",
"full_inputs": ["31_urbansound_dataset"],
"train_inputs": ["31_urbansound_dataset_TRAIN"],
"test_inputs": ["31_urbansound_dataset_TEST"],
"score_inputs": ["31_urbansound_dataset_SCORE"]
}
{
"problem": "LL1_CinC_ECG_torso_problem",
"full_inputs": [
"LL1_CinC_ECG_torso_dataset"
],
"train_inputs": [
"LL1_CinC_ECG_torso_dataset_TRAIN"
],
"test_inputs": [
"LL1_CinC_ECG_torso_dataset_TEST"
],
"score_inputs": [
"LL1_CinC_ECG_torso_dataset_SCORE"
]
}
{
"problem": "LL1_FISH_problem",
"full_inputs": [
"LL1_FISH_dataset"
],
"train_inputs": [
"LL1_FISH_dataset_TRAIN"
],
"test_inputs": [
"LL1_FISH_dataset_TEST"
],
"score_inputs": [
"LL1_FISH_dataset_SCORE"
]
}
{
"id": "4e99cdc5-eb2a-4d15-9a7c-f730a78f8d2f",
"created": "2019-06-16T19:01:16.221573Z",
"inputs": [
{
"name": "dataset inputs"
}
],
"outputs": [
{
"data": "steps.8.produce",
"name": "output predictions"
}
],
"pipeline_rank": 1,
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"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"
},
"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"
},
"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"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.1.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"version": "0.2.0",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
"name": "Extracts columns by semantic type"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"semantic_types": {
"type": "VALUE",
"data": [
"https://metadata.datadrivendiscovery.org/types/Attribute"
]
}
}
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"version": "0.2.0",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
"name": "Extracts columns by semantic type"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"semantic_types": {
"type": "VALUE",
"data": [
"https://metadata.datadrivendiscovery.org/types/TrueTarget"
]
}
}
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "0609859b-8ed9-397f-ac7a-7c4f63863560",
"version": "2019.6.7",
"python_path": "d3m.primitives.data_preprocessing.count_vectorizer.SKlearn",
"name": "sklearn.feature_extraction.text.CountVectorizer"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.3.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"use_semantic_types": {
"type": "VALUE",
"data": true
},
"return_result": {
"type": "VALUE",
"data": "replace"
}
}
},
{
"arguments": {
"inputs": {
"data": "steps.5.produce",
"type": "CONTAINER"
}
},
"hyperparams": {
"norm": {
"data": "l2",
"type": "VALUE"
},
"smooth_idf": {
"data": false,
"type": "VALUE"
},
"sublinear_tf": {
"data": true,
"type": "VALUE"
},
"use_idf": {
"data": false,
"type": "VALUE"
}
},
"outputs": [
{
"id": "produce"
}
],
"primitive": {
"id": "fefcb78f-c2f5-4557-a23b-0910b2127769",
"name": "Tfidf Transformer",
"python_path": "d3m.primitives.feature_extraction.tfidf_vectorizer.BBN",
"version": "0.1.4"
},
"type": "PRIMITIVE"
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "89d7ffbd-df5d-352f-a038-311b7d379cd0",
"version": "2019.6.7",
"python_path": "d3m.primitives.classification.mlp.SKlearn",
"name": "sklearn.neural_network.multilayer_perceptron.MLPClassifier"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.6.produce"
},
"outputs": {
"type": "CONTAINER",
"data": "steps.4.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"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"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.7.produce"
},
"reference": {
"type": "CONTAINER",
"data": "steps.1.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
}
]
}
{
"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"
]
}
{
"problem": "LL1_TXT_CLS_3746_newsgroup_problem",
"full_inputs": [
"LL1_TXT_CLS_3746_newsgroup_dataset"
],
"train_inputs": [
"LL1_TXT_CLS_3746_newsgroup_dataset_TRAIN"
],
"test_inputs": [
"LL1_TXT_CLS_3746_newsgroup_dataset_TEST"
],
"score_inputs": [
"LL1_TXT_CLS_3746_newsgroup_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