Commit 7498e30f authored by Max Kanter's avatar Max Kanter Committed by Sujen

Add MultiTableFeaturization

parent 5efe2624
{
"problem": "32_wikiqa_problem",
"full_inputs": [
"32_wikiqa_dataset"
],
"train_inputs": [
"32_wikiqa_dataset_TRAIN"
],
"test_inputs": [
"32_wikiqa_dataset_TEST"
],
"score_inputs": [
"32_wikiqa_dataset_SCORE"
]
}
created: '2019-06-07T17:09:08.058059Z'
digest: 45b5e13303ab6ff26583658325b2a254ed4edc5f8b43bb33572fc9ed6bd84dc7
id: 8fc84555-f35f-4fa7-8669-eb3f996d834d
inputs:
- name: inputs
outputs:
- data: steps.6.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: 1d175496844197097634e722d5219677c9901389672facc9ae6887ca2580ab92
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: 4c6c8f32a4cc29896dd11a17393620f487cecfff086760a0b61d89ae19ad39e7
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
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
hyperparams:
semantic_types:
data:
- https://metadata.datadrivendiscovery.org/types/Attribute
type: VALUE
outputs:
- id: produce
primitive:
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
id: 4503a4c6-42f7-45a1-a1d4-ed69699cf5e1
name: Extracts columns by semantic type
python_path: d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon
version: 0.2.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
hyperparams:
semantic_types:
data:
- https://metadata.datadrivendiscovery.org/types/TrueTarget
type: VALUE
outputs:
- id: produce
primitive:
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
id: 4503a4c6-42f7-45a1-a1d4-ed69699cf5e1
name: Extracts columns by semantic type
python_path: d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon
version: 0.2.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 63c7b02ffc16f3185592642ca9d4422ea2afb952d8d7a4711711945647ff9bc1
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
type: PRIMITIVE
- arguments:
inputs:
data: steps.4.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 9878fdeb255c5b4fb2beaf053e68b2913e3d7b1c26e40c530c1cb4fe562fde26
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.4.4
type: PRIMITIVE
- arguments:
inputs:
data: steps.5.produce
type: CONTAINER
outputs:
data: steps.3.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 1b533bbbbde00ad20543225f9edea21806a780612102cf3a4e0a00c205f53bde
id: f0fd7a62-09b5-3abc-93bb-f5f999f7cc80
name: sklearn.ensemble.forest.RandomForestRegressor
python_path: d3m.primitives.regression.random_forest.SKlearn
version: 2019.4.4
type: PRIMITIVE
created: '2019-06-01T03:32:11.598100Z'
digest: 1f74f876a9f1eafa0bd1475414674d779860f87c2841b44966984526d05358dd
id: 7765e91d-61aa-4d38-8c73-05dcbbbcc369
created: '2019-06-07T17:08:58.726638Z'
digest: dd201bbe2c45a424b5401daae72af123414278dc7b40b54b58d56b8b905f8436
id: 36dc1bee-8a7c-41af-a296-babb39d61c18
inputs:
- name: inputs
outputs:
......@@ -15,7 +15,7 @@ steps:
outputs:
- id: produce
primitive:
digest: b8251591d8f5f03e1c4d3ec740016c386ad6c20216cfd7d7dd9b8b2e3ab0595f
digest: 81bad326103ae32bd267da87163295ea80c0cd3d3f483b38bbaad13c59e04769
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: d268f582f5bf30206f1e43ef46f435576a30413132bc73279f3fca36937184eb
digest: 5c8dd3521858e042fc63b59f59b7bfad28834eb57ea591ed6cb10adffbb433ca
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: a0d61e03605d9e487c29de5d88a1c7f32d9aef8e23a413b794dad2f4da8ee836
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
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: a0d61e03605d9e487c29de5d88a1c7f32d9aef8e23a413b794dad2f4da8ee836
digest: 2c2d9097c8010dbf549cbbc0a698c0e3f22ea68fe293cbdd70ecb8898b3af2de
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: 1d545bbb0400a8efc13f72b8b4afc8cd649d424e4b39de6eb81aa68658c11c61
digest: 63c7b02ffc16f3185592642ca9d4422ea2afb952d8d7a4711711945647ff9bc1
id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.4.0
version: 0.5.0
type: PRIMITIVE
- arguments:
inputs:
......@@ -90,7 +90,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 8c36c71cc0018d0566008dd256748672a4d686bf00174f2c17ae063238be7b29
digest: 9878fdeb255c5b4fb2beaf053e68b2913e3d7b1c26e40c530c1cb4fe562fde26
id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
......@@ -106,7 +106,7 @@ steps:
outputs:
- id: produce
primitive:
digest: 8e21fe6143ccc4e9276ba6b7dea7104ff79a73955aed04f44dc79b21d6be39ae
digest: 1b533bbbbde00ad20543225f9edea21806a780612102cf3a4e0a00c205f53bde
id: f0fd7a62-09b5-3abc-93bb-f5f999f7cc80
name: sklearn.ensemble.forest.RandomForestRegressor
python_path: d3m.primitives.regression.random_forest.SKlearn
......
{
"id": "6c5dcfa3-1f87-4066-b16a-88c9c971f6e3",
"version": "0.4.0",
"version": "0.5.0",
"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/ta1-primitives.git@e0170fb51c0238cf1edc76f1d88e86818254b1d3#egg=featuretools_ta1"
"package_uri": "git+https://github.com/Featuretools/ta1-primitives.git@152f1ab138af3cc3083fc7beb85124f35813a9c9#egg=featuretools_ta1"
}
],
"algorithm_types": [
......@@ -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": "1d545bbb0400a8efc13f72b8b4afc8cd649d424e4b39de6eb81aa68658c11c61"
"digest": "63c7b02ffc16f3185592642ca9d4422ea2afb952d8d7a4711711945647ff9bc1"
}
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