Commit aaebd2d7 authored by Sujen's avatar Sujen

Merge branch 'featuretools-primtitives-0.6.1' into 'master'

Featuretools primtitives 0.6.1

See merge request datadrivendiscovery/primitives!331
parents 22c5fd48 2def126c
created: '2019-06-20T15:54:18.699746Z'
digest: 5b98ce5c1ac6edcdcce6ca092005ffdb610088055af9583fb2089fe20708ca51
id: 25bd8741-371d-4afd-ab9e-297c589d4463
created: '2019-07-15T12:05:59.097041Z'
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id: 18a40b4b-a74c-458a-bbeb-6070934f5dbe
inputs:
- name: inputs
outputs:
......@@ -30,7 +30,7 @@ steps:
outputs:
- id: produce
primitive:
digest: c0758e781e82970035775c84b80632a2fed86338ce6c8709d26c32de32ad4336
digest: b602026372cab83090708ad7f1c8e8e9d48cd03b1841f59b52b59244727a4aa0
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
......@@ -43,7 +43,7 @@ steps:
outputs:
- id: produce
primitive:
digest: d67d02884b6b0bd8797f93296b1e37523ee64e79ca5646b1612ea63140570264
digest: 9b5ce28665e6f725350447ab1274d6d0af8779813a036dbee1a7d890ea2709db
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
name: Multi Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization
......@@ -56,7 +56,7 @@ steps:
outputs:
- id: produce
primitive:
digest: ac4ea5abf7c18f868756d5a9d80af7ed1cd716f48ac1c1e6bf9290de91c66b76
digest: 10297ac37a2778a43d053387b42925c6b92de319bb6e0dd522ff4cbc9617e226
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
......@@ -77,7 +77,7 @@ steps:
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.4.4
version: 2019.6.7
type: PRIMITIVE
- arguments:
inputs:
......@@ -89,7 +89,7 @@ steps:
outputs:
- id: produce
primitive:
digest: f09eb630a8117ce85d54de6e6a392a5dcb72ec0cc00be5dbd381c1ebd4e62787
digest: 92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d
id: fe0841b7-6e70-4bc3-a56c-0670a95ebc6a
name: XGBoost GBTree classifier
python_path: d3m.primitives.classification.xgboost_gbtree.DataFrameCommon
......@@ -105,7 +105,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 894c863294aa91449b50fed1570836e723b80a81fb58a2da38cc0454b05fa2f1
digest: 96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b
id: 8d38b340-f83f-4877-baaa-162f8e551736
name: Construct pipeline predictions output
python_path: d3m.primitives.data_transformation.construct_predictions.DataFrameCommon
......
{
"problem": "LL1_retail_sales_binary_problem",
"full_inputs": [
"LL1_retail_sales_binary_dataset"
],
"train_inputs": [
"LL1_retail_sales_binary_dataset_TRAIN"
],
"test_inputs": [
"LL1_retail_sales_binary_dataset_TEST"
],
"score_inputs": [
"LL1_retail_sales_binary_dataset_SCORE"
]
}
\ No newline at end of file
created: '2019-06-20T15:54:27.075599Z'
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created: '2019-07-15T12:06:30.963270Z'
digest: 514a0bb0d783494176c26fc2ee340bb29be0565d5ebac8fec47dc41a4db7a71f
id: 67edc6c1-0111-48db-8024-3811707a32ac
inputs:
- name: inputs
outputs:
......@@ -30,7 +30,7 @@ steps:
outputs:
- id: produce
primitive:
digest: c0758e781e82970035775c84b80632a2fed86338ce6c8709d26c32de32ad4336
digest: b602026372cab83090708ad7f1c8e8e9d48cd03b1841f59b52b59244727a4aa0
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
......@@ -43,7 +43,7 @@ steps:
outputs:
- id: produce
primitive:
digest: d67d02884b6b0bd8797f93296b1e37523ee64e79ca5646b1612ea63140570264
digest: 9b5ce28665e6f725350447ab1274d6d0af8779813a036dbee1a7d890ea2709db
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
name: Multi Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization
......@@ -56,7 +56,7 @@ steps:
outputs:
- id: produce
primitive:
digest: ac4ea5abf7c18f868756d5a9d80af7ed1cd716f48ac1c1e6bf9290de91c66b76
digest: 10297ac37a2778a43d053387b42925c6b92de319bb6e0dd522ff4cbc9617e226
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
......@@ -77,7 +77,7 @@ steps:
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.4.4
version: 2019.6.7
type: PRIMITIVE
- arguments:
inputs:
......@@ -89,7 +89,7 @@ steps:
outputs:
- id: produce
primitive:
digest: f09eb630a8117ce85d54de6e6a392a5dcb72ec0cc00be5dbd381c1ebd4e62787
digest: 92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d
id: fe0841b7-6e70-4bc3-a56c-0670a95ebc6a
name: XGBoost GBTree classifier
python_path: d3m.primitives.classification.xgboost_gbtree.DataFrameCommon
......@@ -105,7 +105,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 894c863294aa91449b50fed1570836e723b80a81fb58a2da38cc0454b05fa2f1
digest: 96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b
id: 8d38b340-f83f-4877-baaa-162f8e551736
name: Construct pipeline predictions output
python_path: d3m.primitives.data_transformation.construct_predictions.DataFrameCommon
......
{
"problem": "LL1_retail_sales_total_problem",
"full_inputs": [
"LL1_retail_sales_total_dataset"
],
"train_inputs": [
"LL1_retail_sales_total_dataset_TRAIN"
],
"test_inputs": [
"LL1_retail_sales_total_dataset_TEST"
],
"score_inputs": [
"LL1_retail_sales_total_dataset_SCORE"
]
}
\ No newline at end of file
created: '2019-06-20T15:54:50.146221Z'
digest: afc37be12e48725509326dc35ab67eb2781ebb76606897095eb2709391b38a83
id: cc9a7f70-e4ef-447b-9a0f-977b672ba72e
created: '2019-07-15T12:06:46.620453Z'
digest: 1f5115b5627ea434090f6694e6c55ea12294bfba36b4867c6cecd623c68205df
id: 7882b3ce-f432-4eb6-8c5d-dca92c869696
inputs:
- name: inputs
outputs:
......@@ -30,7 +30,7 @@ steps:
outputs:
- id: produce
primitive:
digest: c0758e781e82970035775c84b80632a2fed86338ce6c8709d26c32de32ad4336
digest: b602026372cab83090708ad7f1c8e8e9d48cd03b1841f59b52b59244727a4aa0
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
......@@ -43,7 +43,7 @@ steps:
outputs:
- id: produce
primitive:
digest: d67d02884b6b0bd8797f93296b1e37523ee64e79ca5646b1612ea63140570264
digest: 9b5ce28665e6f725350447ab1274d6d0af8779813a036dbee1a7d890ea2709db
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
name: Multi Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization
......@@ -64,7 +64,7 @@ steps:
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.4.4
version: 2019.6.7
type: PRIMITIVE
- arguments:
inputs:
......@@ -76,7 +76,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 75fa6976e69f5facbd720a668413bdafe9041df83c82d93d39f7a8ee1b7360b8
digest: f1edce990f367277143b5d9bd8f7f42c52c753b611c4512741fa5506b7a26b00
id: cdbb80e4-e9de-4caa-a710-16b5d727b959
name: XGBoost GBTree regressor
python_path: d3m.primitives.regression.xgboost_gbtree.DataFrameCommon
......@@ -92,7 +92,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 894c863294aa91449b50fed1570836e723b80a81fb58a2da38cc0454b05fa2f1
digest: 96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b
id: 8d38b340-f83f-4877-baaa-162f8e551736
name: Construct pipeline predictions output
python_path: d3m.primitives.data_transformation.construct_predictions.DataFrameCommon
......
{
"problem": "LL1_50words_problem",
"full_inputs": [
"LL1_50words_dataset"
],
"train_inputs": [
"LL1_50words_dataset_TRAIN"
],
"test_inputs": [
"LL1_50words_dataset_TEST"
],
"score_inputs": [
"LL1_50words_dataset_SCORE"
]
}
\ No newline at end of file
created: '2019-07-15T12:06:10.366461Z'
digest: 7b39deee56e8d63f20f13574c9ccdcccd955f2deedb50a1d0f65a52ba1a95c52
id: 7be8b885-25e3-4ee1-be4a-a036a517aa0a
inputs:
- name: inputs
outputs:
- data: steps.5.produce
name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
steps:
- arguments:
inputs:
data: inputs.0
type: CONTAINER
hyperparams:
fit_primitive:
data: 'no'
type: VALUE
primitive:
data:
case: transformer
value:
class: d3m.primitives.data_transformation.column_parser.DataFrameCommon
type: VALUE
resources:
data:
case: all
value: all
type: VALUE
outputs:
- id: produce
primitive:
digest: b602026372cab83090708ad7f1c8e8e9d48cd03b1841f59b52b59244727a4aa0
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.0.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 9b5ce28665e6f725350447ab1274d6d0af8779813a036dbee1a7d890ea2709db
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
name: Multi Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization
version: 0.6.1
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 10297ac37a2778a43d053387b42925c6b92de319bb6e0dd522ff4cbc9617e226
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.6.1
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
hyperparams:
use_semantic_types:
data: true
type: VALUE
outputs:
- id: produce
primitive:
digest: d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.6.7
type: PRIMITIVE
- arguments:
inputs:
data: steps.3.produce
type: CONTAINER
outputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d
id: fe0841b7-6e70-4bc3-a56c-0670a95ebc6a
name: XGBoost GBTree classifier
python_path: d3m.primitives.classification.xgboost_gbtree.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.4.produce
type: CONTAINER
reference:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b
id: 8d38b340-f83f-4877-baaa-162f8e551736
name: Construct pipeline predictions output
python_path: d3m.primitives.data_transformation.construct_predictions.DataFrameCommon
version: 0.3.0
type: PRIMITIVE
{
"problem": "LL1_retail_sales_multi_problem",
"full_inputs": [
"LL1_retail_sales_multi_dataset"
],
"train_inputs": [
"LL1_retail_sales_multi_dataset_TRAIN"
],
"test_inputs": [
"LL1_retail_sales_multi_dataset_TEST"
],
"score_inputs": [
"LL1_retail_sales_multi_dataset_SCORE"
]
}
\ No newline at end of file
created: '2019-07-15T12:06:36.989076Z'
digest: c4ee106d844decdc056165cc5a13751fcbbcb8817e5ee199a496e45c0da51dcd
id: 9408dba8-e2d7-47f4-846e-60d280e1ea1d
inputs:
- name: inputs
outputs:
- data: steps.5.produce
name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
steps:
- arguments:
inputs:
data: inputs.0
type: CONTAINER
hyperparams:
fit_primitive:
data: 'no'
type: VALUE
primitive:
data:
case: transformer
value:
class: d3m.primitives.data_transformation.column_parser.DataFrameCommon
type: VALUE
resources:
data:
case: all
value: all
type: VALUE
outputs:
- id: produce
primitive:
digest: b602026372cab83090708ad7f1c8e8e9d48cd03b1841f59b52b59244727a4aa0
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.0.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 9b5ce28665e6f725350447ab1274d6d0af8779813a036dbee1a7d890ea2709db
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
name: Multi Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization
version: 0.6.1
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 10297ac37a2778a43d053387b42925c6b92de319bb6e0dd522ff4cbc9617e226
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.6.1
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
hyperparams:
use_semantic_types:
data: true
type: VALUE
outputs:
- id: produce
primitive:
digest: d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.6.7
type: PRIMITIVE
- arguments:
inputs:
data: steps.3.produce
type: CONTAINER
outputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d
id: fe0841b7-6e70-4bc3-a56c-0670a95ebc6a
name: XGBoost GBTree classifier
python_path: d3m.primitives.classification.xgboost_gbtree.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.4.produce
type: CONTAINER
reference:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 96382129c2d9e87a2c0ab0b477b410947e5644d4dfae24e905d16a72d32dc41b
id: 8d38b340-f83f-4877-baaa-162f8e551736
name: Construct pipeline predictions output
python_path: d3m.primitives.data_transformation.construct_predictions.DataFrameCommon
version: 0.3.0
type: PRIMITIVE
{
"problem": "uu3_world_development_indicators_problem",
"problem": "uu2_gp_hyperparameter_estimation_problem",
"full_inputs": [
"uu3_world_development_indicators_dataset"
"uu2_gp_hyperparameter_estimation_dataset"
],
"train_inputs": [
"uu3_world_development_indicators_dataset_TRAIN"
"uu2_gp_hyperparameter_estimation_dataset_TRAIN"
],
"test_inputs": [
"uu3_world_development_indicators_dataset_TEST"
"uu2_gp_hyperparameter_estimation_dataset_TEST"
],
"score_inputs": [
"uu3_world_development_indicators_dataset_SCORE"
"uu2_gp_hyperparameter_estimation_dataset_SCORE"
]
}
\ No newline at end of file
created: '2019-07-15T12:06:50.290837Z'
digest: e58b0db0cf251ea29a9df8e8e307d53f292084ca7f153c5281203eb11792cec3
id: 9be5a862-6779-4ad5-8cab-01203d2ccd72
inputs:
- name: inputs
outputs:
- data: steps.5.produce
name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
steps:
- arguments:
inputs:
data: inputs.0
type: CONTAINER
hyperparams:
fit_primitive:
data: 'no'
type: VALUE
primitive:
data:
case: transformer
value:
class: d3m.primitives.data_transformation.column_parser.DataFrameCommon
type: VALUE
resources:
data:
case: all
value: all
type: VALUE
outputs:
- id: produce
primitive:
digest: b602026372cab83090708ad7f1c8e8e9d48cd03b1841f59b52b59244727a4aa0
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.0.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 9b5ce28665e6f725350447ab1274d6d0af8779813a036dbee1a7d890ea2709db
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
name: Multi Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization
version: 0.6.1
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 10297ac37a2778a43d053387b42925c6b92de319bb6e0dd522ff4cbc9617e226
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.6.1
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
hyperparams:
use_semantic_types:
data: true
type: VALUE
outputs:
- id: produce
primitive:
digest: d6902b0ef72b4cd6fc5f79054f7a534404c708e1244e94a2713a9dd525c78eed
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.6.7
type: PRIMITIVE
- arguments:
inputs:
data: steps.3.produce
type: CONTAINER
outputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 92c2ba639ead09cba5626c5e81f4e57a55e4bccb25cfc5d16d0c945a936a104d
id: fe0841b7-6e70-4bc3-a56c-0670a95ebc6a
name: XGBoost GBTree classifier
python_path: d3m.primitives.classification.xgboost_gbtree.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.4.produce
type: CONTAINER
reference:
data: steps.1.produce
type: CONTAINER
outputs: