PipelineEmbedding.md

PipelineEmbedding

Properties

Name	Type	Description	Notes
created_at	datetime	time the resource was created on the database	[optional] [readonly]
updated_at	str	when the resource was last modified/updated.	[optional] [readonly]
config_id	str
base_study_id	str		[optional]
date_executed	datetime		[optional]
file_inputs	object		[optional]
status	str	Current status of the pipeline execution (e.g. SUCCESS, FAILURE, ERROR, UNKNOWN)
embedding	List[float]

Example

from neurostore_sdk.models.pipeline_embedding import PipelineEmbedding

# TODO update the JSON string below
json = "{}"
# create an instance of PipelineEmbedding from a JSON string
pipeline_embedding_instance = PipelineEmbedding.from_json(json)
# print the JSON string representation of the object
print(PipelineEmbedding.to_json())

# convert the object into a dict
pipeline_embedding_dict = pipeline_embedding_instance.to_dict()
# create an instance of PipelineEmbedding from a dict
pipeline_embedding_from_dict = PipelineEmbedding.from_dict(pipeline_embedding_dict)

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