Commit b21e6615 authored by Sujen's avatar Sujen

Merge branch 'update-2019-6-7' into 'master'

Update Featuretools to v2019.6.7

See merge request !209
parents 93f44c2d ed88a478
Pipeline #95022401 failed with stage
in 147 minutes and 36 seconds
created: '2019-06-07T17:09:08.058059Z'
digest: 45b5e13303ab6ff26583658325b2a254ed4edc5f8b43bb33572fc9ed6bd84dc7
id: 8fc84555-f35f-4fa7-8669-eb3f996d834d
created: '2019-06-11T17:10:10.899166Z'
digest: cfa502cf58ceb3bb96dec422993f1b63f2211d4e53917bc8a0570e80b93937d5
id: e05de273-a648-4801-b162-846f02c8b2a7
inputs:
- name: inputs
outputs:
......@@ -30,7 +30,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 1d175496844197097634e722d5219677c9901389672facc9ae6887ca2580ab92
digest: 1981e5dc0af05eff1b69b547b59b3f428dad0348ebcfb13754ac471f42b43df3
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
......@@ -43,11 +43,11 @@ steps:
outputs:
- id: produce
primitive:
digest: 4c6c8f32a4cc29896dd11a17393620f487cecfff086760a0b61d89ae19ad39e7
digest: 3afdc53e78419b4ee732faf4d460bab807f200120ade6a9214379b2ea11f84c0
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
name: Multi Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization
version: 0.5.0
version: 0.6.0
type: PRIMITIVE
- arguments:
inputs:
......@@ -61,7 +61,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
digest: 297a4943484bcd532650d5727e23b3d11ca702688d7b64dfb5df8bf1282eaa47
id: 4503a4c6-42f7-45a1-a1d4-ed69699cf5e1
name: Extracts columns by semantic type
python_path: d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon
......@@ -79,7 +79,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
digest: 297a4943484bcd532650d5727e23b3d11ca702688d7b64dfb5df8bf1282eaa47
id: 4503a4c6-42f7-45a1-a1d4-ed69699cf5e1
name: Extracts columns by semantic type
python_path: d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon
......@@ -92,11 +92,11 @@ steps:
outputs:
- id: produce
primitive:
digest: 63c7b02ffc16f3185592642ca9d4422ea2afb952d8d7a4711711945647ff9bc1
digest: 5620a9ee7cf5990c8deea2b392ba54dc5b97bc2bbaa637845dd853766c4b80d1
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.5.0
version: 0.6.0
type: PRIMITIVE
- arguments:
inputs:
......
{
"id": "e659ef3a-f17c-4bbf-9e5a-13de79a4e55b",
"version": "0.5.0",
"version": "0.6.0",
"name": "Multi Table Deep Feature Synthesis",
"python_path": "d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization",
"source": {
......@@ -14,7 +14,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/Featuretools/[email protected]152f1ab138af3cc3083fc7beb85124f35813a9c9#egg=featuretools_ta1"
"package_uri": "git+https://github.com/Featuretools/[email protected]b62cfcd039404c971b32037fa2722c7a0a49171e#egg=featuretools_ta1"
}
],
"algorithm_types": [
......@@ -40,7 +40,7 @@
"Params": "featuretools_ta1.multi_table.Params",
"Hyperparams": "featuretools_ta1.multi_table.Hyperparams"
},
"interfaces_version": "2019.5.8",
"interfaces_version": "2019.6.7",
"interfaces": [
"unsupervised_learning.UnsupervisedLearnerPrimitiveBase",
"base.PrimitiveBase"
......@@ -287,5 +287,5 @@
},
"structural_type": "featuretools_ta1.multi_table.MultiTableFeaturization",
"description": "This primitive creates new interaction features for an input dataframe.\n\nAfter creating features it reduces the set of possible features using an unsupervised approach\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "4c6c8f32a4cc29896dd11a17393620f487cecfff086760a0b61d89ae19ad39e7"
"digest": "3afdc53e78419b4ee732faf4d460bab807f200120ade6a9214379b2ea11f84c0"
}
created: '2019-06-07T17:08:58.726638Z'
digest: dd201bbe2c45a424b5401daae72af123414278dc7b40b54b58d56b8b905f8436
id: 36dc1bee-8a7c-41af-a296-babb39d61c18
created: '2019-06-11T17:10:31.494769Z'
digest: 200f757bc6dbea65536f287bdb36cc1478501efb96fa095ac07310b3f6b0503e
id: c6c6147e-3e8c-489e-bf9d-78aec5228861
inputs:
- name: inputs
outputs:
......@@ -15,7 +15,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 81bad326103ae32bd267da87163295ea80c0cd3d3f483b38bbaad13c59e04769
digest: 0d46a2c5bc374e305682dc4f1c322518c07638153a8365034a513ea46960802b
id: 4b42ce1e-9b98-4a25-b68e-fad13311eb65
name: Extract a DataFrame from a Dataset
python_path: d3m.primitives.data_transformation.dataset_to_dataframe.Common
......@@ -28,7 +28,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 5c8dd3521858e042fc63b59f59b7bfad28834eb57ea591ed6cb10adffbb433ca
digest: 312cacc014497dd674e34765f6eb54430e594c591e760da0383c87844753d2ce
id: d510cb7a-1782-4f51-b44c-58f0236e47c7
name: Parses strings into their types
python_path: d3m.primitives.data_transformation.column_parser.DataFrameCommon
......@@ -46,7 +46,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
digest: 297a4943484bcd532650d5727e23b3d11ca702688d7b64dfb5df8bf1282eaa47
id: 4503a4c6-42f7-45a1-a1d4-ed69699cf5e1
name: Extracts columns by semantic type
python_path: d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon
......@@ -64,7 +64,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
digest: 297a4943484bcd532650d5727e23b3d11ca702688d7b64dfb5df8bf1282eaa47
id: 4503a4c6-42f7-45a1-a1d4-ed69699cf5e1
name: Extracts columns by semantic type
python_path: d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon
......@@ -77,11 +77,11 @@ steps:
outputs:
- id: produce
primitive:
digest: 63c7b02ffc16f3185592642ca9d4422ea2afb952d8d7a4711711945647ff9bc1
digest: 5620a9ee7cf5990c8deea2b392ba54dc5b97bc2bbaa637845dd853766c4b80d1
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.5.0
version: 0.6.0
type: PRIMITIVE
- arguments:
inputs:
......
{
"id": "6c5dcfa3-1f87-4066-b16a-88c9c971f6e3",
"version": "0.5.0",
"version": "0.6.0",
"name": "Single Table Deep Feature Synthesis",
"python_path": "d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization",
"source": {
......@@ -14,7 +14,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/Featuretools/[email protected]152f1ab138af3cc3083fc7beb85124f35813a9c9#egg=featuretools_ta1"
"package_uri": "git+https://github.com/Featuretools/[email protected]b62cfcd039404c971b32037fa2722c7a0a49171e#egg=featuretools_ta1"
}
],
"algorithm_types": [
......@@ -40,7 +40,7 @@
"Params": "featuretools_ta1.single_table.Params",
"Hyperparams": "featuretools_ta1.single_table.Hyperparams"
},
"interfaces_version": "2019.5.8",
"interfaces_version": "2019.6.7",
"interfaces": [
"unsupervised_learning.UnsupervisedLearnerPrimitiveBase",
"base.PrimitiveBase"
......@@ -269,5 +269,5 @@
},
"structural_type": "featuretools_ta1.single_table.SingleTableFeaturization",
"description": "This primitive creates new interaction features for an input dataframe.\n\nAfter creating features it reduces the set of possible features using an unsupervised approach\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "63c7b02ffc16f3185592642ca9d4422ea2afb952d8d7a4711711945647ff9bc1"
"digest": "5620a9ee7cf5990c8deea2b392ba54dc5b97bc2bbaa637845dd853766c4b80d1"
}
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