Commit d8c99f68 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!312
parents 278e3e10 1bcefbae
{
"problem": "uu3_world_development_indicators_problem",
"full_inputs": [
"uu3_world_development_indicators_dataset"
],
"train_inputs": [
"uu3_world_development_indicators_dataset_TRAIN"
],
"test_inputs": [
"uu3_world_development_indicators_dataset_TEST"
],
"score_inputs": [
"uu3_world_development_indicators_dataset_SCORE"
]
}
\ No newline at end of file
created: '2019-06-20T23:22:43.910196Z'
digest: 4a9896560b66c8ef2c66bb009db5da977ea240fc837212ea36b4f8c7b214cedc
id: b5c6ca04-be5c-454c-949d-2916c707625f
inputs:
- name: inputs
outputs:
- data: steps.4.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: c0758e781e82970035775c84b80632a2fed86338ce6c8709d26c32de32ad4336
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: aa6efbc065184d17561ea6103a073735bb01a8cac9555b179f231aa822fc9626
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
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: 2019.4.4
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
outputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 3c3999474f76c67c6a30eed8b9a2cdb450e232ae99369ee31cff75cb5044eb11
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
- arguments:
inputs:
data: steps.3.produce
type: CONTAINER
reference:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 894c863294aa91449b50fed1570836e723b80a81fb58a2da38cc0454b05fa2f1
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
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