Commit d45dbbd3 authored by Mark Hoffmann's avatar Mark Hoffmann

updated annotations

parent 844da4db
{
"problem": "LL1_penn_fudan_pedestrian_problem",
"full_inputs": ["LL1_penn_fudan_pedestrian_dataset"],
"train_inputs": ["LL1_penn_fudan_pedestrian_dataset_TRAIN"],
"test_inputs": ["LL1_penn_fudan_pedestrian_dataset_TEST"],
"score_inputs": ["LL1_penn_fudan_pedestrian_dataset_SCORE"]
}
---
context: TESTING
created: '2019-04-26T01:09:44.343543Z'
id: 2aa021cf-4dfc-4d46-82bc-738017555bd2
inputs:
- name: inputs
outputs:
- data: steps.4.produce
name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
steps:
# STEP 0
- arguments:
inputs:
data: inputs.0
type: CONTAINER
outputs:
- id: produce
primitive:
id: f31f8c1f-d1c5-43e5-a4b2-2ae4a761ef2e
name: Denormalize datasets
python_path: d3m.primitives.data_transformation.denormalize.Common
version: 0.2.0
type: PRIMITIVE
# STEP 1
- arguments:
inputs:
data: steps.0.produce
type: CONTAINER
outputs:
- id: produce
primitive:
id: 4b42ce1e-9b98-4a25-b68e-fad13311eb65
name: Extract a DataFrame from a Dataset
python_path: d3m.primitives.data_transformation.dataset_to_dataframe.Common
version: 0.3.0
type: PRIMITIVE
# STEP 2
- arguments:
inputs: {data: steps.1.produce, type: CONTAINER}
hyperparams:
parse_semantic_types: {data: ["http://schema.org/Boolean",
"http://schema.org/Integer",
"http://schema.org/Float",
"https://metadata.datadrivendiscovery.org/types/FloatVector",
"http://schema.org/DateTime"
], type: VALUE}
outputs:
- {id: produce}
primitive:
id: d510cb7a-1782-4f51-b44c-58f0236e47c7
name: 'Parses strings into their types'
python_path: d3m.primitives.data_transformation.column_parser.DataFrameCommon
version: 0.5.0
type: PRIMITIVE
# STEP 3
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
hyperparams:
semantic_types:
data:
- 'https://metadata.datadrivendiscovery.org/types/TrueTarget'
type: VALUE
outputs:
-
id: produce
primitive:
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
# STEP 4
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
outputs:
data: steps.2.produce
type: CONTAINER
hyperparams:
use_gpu:
data: false
type: VALUE
batch_size:
data: 3
type: VALUE
outputs:
- id: produce
primitive:
id: 176e7277-fe37-402b-86e6-bdb7f7a9cf89
name: retina_net
python_path: d3m.primitives.object_detection.retina_net.JPLPrimitives
version: 0.2.1
type: PRIMITIVE
# STEP 5
#- arguments:
# inputs:
# data: steps.2.produce
# type: CONTAINER
# reference:
# data: steps.2.produce
# type: CONTAINER
# outputs:
# -
# id: produce
# primitive:
# 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
\ No newline at end of file
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