Commit bfb12bb1 authored by Muxin Liang's avatar Muxin Liang ⛹🏿 Committed by Mitar

change dataset

parent 5dc6a583
{
"id": "95cda73e-887a-41f4-83eb-8c2bc8a1040d",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-05-17T04:03:41.079026Z",
"inputs": [
{
"name": "inputs"
}
],
"outputs": [
{
"data": "steps.6.produce",
"name": "final"
}
],
"steps": [
{
"type": "PRIMITIVE",
"primitive": {
"id": "dsbox-denormalize(from d3m)",
"version": "1.5.0",
"python_path": "d3m.primitives.normalization.denormalize.DSBOX",
"name": "DSBox denormalize",
"digest": "46dd84c1b84114e7f1d37d889c261c084ea31401e258b79f177a76a7279d07e0"
},
"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": "e961af90b7d82dcc4900a01fc4bc0cf76c8ca050086cedc9ff043814d770fbb2"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.0.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",
"digest": "7c7ca2febf05d3138438919635143b6ba2b15606400442ddcf1c7107fa7e8207"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.1.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"semantic_types": {
"type": "VALUE",
"data": [
"https://metadata.datadrivendiscovery.org/types/PrimaryKey",
"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",
"digest": "7c7ca2febf05d3138438919635143b6ba2b15606400442ddcf1c7107fa7e8207"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.1.produce"
}
},
"outputs": [
{
"id": "produce"
}
],
"hyperparams": {
"semantic_types": {
"type": "VALUE",
"data": [
"https://metadata.datadrivendiscovery.org/types/PrimaryKey",
"https://metadata.datadrivendiscovery.org/types/SuggestedTarget"
]
}
}
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "7ddf2fd8-2f7f-4e53-96a7-0d9f5aeecf93",
"version": "1.5.0",
"python_path": "d3m.primitives.data_transformation.to_numeric.DSBOX",
"name": "ISI DSBox To Numeric DataFrame",
"digest": "c8a6dff4d8982c2b2ec772ff00fdeb66b353ce5fea992dabc4b3e3cf1dd07451"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.2.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "7ddf2fd8-2f7f-4e53-96a7-0d9f5aeecf93",
"version": "1.5.0",
"python_path": "d3m.primitives.data_transformation.to_numeric.DSBOX",
"name": "ISI DSBox To Numeric DataFrame",
"digest": "c8a6dff4d8982c2b2ec772ff00fdeb66b353ce5fea992dabc4b3e3cf1dd07451"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.3.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
},
{
"type": "PRIMITIVE",
"primitive": {
"id": "b2e4e8ea-76dc-439e-8e46-b377bf616a35",
"version": "1.5.0",
"python_path": "d3m.primitives.time_series_forecasting.arima.DSBOX",
"name": "DSBox Arima Primitive",
"digest": "5da94fd2eaa0acca60d903db7dfd34b6b93187cbc5e4bed5643c58d1d058e324"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.4.produce"
},
"outputs": {
"type": "CONTAINER",
"data": "steps.5.produce"
}
},
"outputs": [
{
"id": "produce"
}
]
}
],
"digest": "ac5c2aac58f15ff134d23951098a517832f84797ac8d2706620cd13209f476ab"
}
{
"problem":"LL1_air_carriers_certificated_passenger_load_industry_problem",
"full_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset"
],
"train_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset"
],
"test_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset"
],
"score_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset_SCORE"
]
}
\ No newline at end of file
{
"id":"a3620ed6-e711-4c42-beb4-b8561d24a613",
"schema":"https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created":"2019-05-14T22:30:32.284982Z",
"context":"PRETRAINING",
"inputs":[
{
"name":"input dataset"
}
],
"outputs":[
{
"data":"steps.7.produce",
"name":"predictions of input dataset"
}
],
"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":"343f89680dc150a0d210c775fad2a32db8b7d422434f79e818a27a8f479359f8"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"inputs.0"
}
},
"outputs":[
{
"id":"produce"
}
],
"hyperparams":{
"starting_resource":{
"type":"VALUE",
"data":null
},
"recursive":{
"type":"VALUE",
"data":true
},
"many_to_many":{
"type":"VALUE",
"data":false
},
"discard_not_joined_tabular_resources":{
"type":"VALUE",
"data":false
}
}
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"dsbox-denormalize(from d3m)",
"version":"1.5.0",
"python_path":"d3m.primitives.normalization.denormalize.DSBOX",
"name":"DSBox denormalize",
"digest":"3ec02ddfdcefee3d22056e55ac1ef5c7af9225f8a6e142afff6c4f7916355cbf"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.0.produce"
}
},
"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":"e961af90b7d82dcc4900a01fc4bc0cf76c8ca050086cedc9ff043814d770fbb2"
},
"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",
"digest":"7c7ca2febf05d3138438919635143b6ba2b15606400442ddcf1c7107fa7e8207"
},
"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":"7ddf2fd8-2f7f-4e53-96a7-0d9f5aeecf93",
"version":"1.5.0",
"python_path":"d3m.primitives.data_transformation.to_numeric.DSBOX",
"name":"ISI DSBox To Numeric DataFrame",
"digest":"b2cf9916393545363619f61958d4a5cf62834aed30beb65cf308810f3f54f452"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.3.produce"
}
},
"outputs":[
{
"id":"produce"
}
],
"hyperparams":{
"drop_non_numeric_columns":{
"type":"VALUE",
"data":false
}
}
},
{
"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",
"digest":"7c7ca2febf05d3138438919635143b6ba2b15606400442ddcf1c7107fa7e8207"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.2.produce"
}
},
"outputs":[
{
"id":"produce"
}
],
"hyperparams":{
"semantic_types":{
"type":"VALUE",
"data":[
"https://metadata.datadrivendiscovery.org/types/PrimaryKey",
"https://metadata.datadrivendiscovery.org/types/Attribute"
]
}
}
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"7ddf2fd8-2f7f-4e53-96a7-0d9f5aeecf93",
"version":"1.5.0",
"python_path":"d3m.primitives.data_transformation.to_numeric.DSBOX",
"name":"ISI DSBox To Numeric DataFrame",
"digest":"b2cf9916393545363619f61958d4a5cf62834aed30beb65cf308810f3f54f452"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.5.produce"
}
},
"outputs":[
{
"id":"produce"
}
]
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"b2e4e8ea-76dc-439e-8e46-b377bf616a35",
"version":"1.5.0",
"python_path":"d3m.primitives.time_series_forecasting.arima.DSBOX",
"name":"DSBox Arima Primitive",
"digest":"817b33386a5a20fbe8336bb7907714ac3e64880ccdc865803f5fa52e8a813c6f"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.6.produce"
},
"outputs":{
"type":"CONTAINER",
"data":"steps.4.produce"
}
},
"outputs":[
{
"id":"produce"
}
],
"hyperparams":{
"take_log":{
"type":"VALUE",
"data":false
},
"auto":{
"type":"VALUE",
"data":true
}
}
}
],
"name":"ARIMA_Template:4979572384",
"description":"",
"digest":"57eaaa14c316a0480f94c4c19d7f40fbfcfd56ddb4b26e3289c4ccdb07502d1d",
"pipeline_rank":1423.636490967907,
"metric":"rootMeanSquaredError",
"metric_value":1423.636490967907,
"template_name":"ARIMA_Template",
"template_task":"TIME_SERIES_FORECASTING",
"template_subtask":"NONE",
"problem_taskType":"timeSeriesForecasting",
"problem_taskSubType":"NONE"
}
\ No newline at end of file
{
"problem":"56_sunspots_problem",
"full_inputs":[
"56_sunspots_dataset"
],
"train_inputs":[
"56_sunspots_dataset_TRAIN"
],
"test_inputs":[
"56_sunspots_dataset_TEST"
],
"score_inputs":[
"56_sunspots_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"LL1_air_carriers_certificated_passenger_load_industry_problem",
"full_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset"
],
"train_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset"
],
"test_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset"
],
"score_inputs":[
"LL1_air_carriers_certificated_passenger_load_industry_dataset_SCORE"
]
}
\ No newline at end of file
{
"id": "0ce9b002-2974-41ca-9ec4-341bae67d50f",
"id": "a49963c7-dbc6-4d6a-86ac-2e7ac8672178",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-05-17T04:19:53.628099Z",
"created": "2019-05-17T23:20:03.369789Z",
"inputs": [
{
"name": "inputs"
......@@ -184,5 +184,5 @@
]
}
],
"digest": "95e6f511af929284c5387b74ff2504c0ab83470bc3f54e060d19f90fce3ab1e9"
"digest": "cba885766de1c0ebcbf769af4211d1038accad296bbc0b25b09b148bdfa47e24"
}
{
"problem":"56_sunspots_problem",
"full_inputs":[
"56_sunspots_dataset"
],
"train_inputs":[
"56_sunspots_dataset_TRAIN"
],
"test_inputs":[
"56_sunspots_dataset_TEST"
],
"score_inputs":[
"56_sunspots_dataset_SCORE"
]
}
\ No newline at end of file
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