AnalysisRequest.md

AnalysisRequest

Properties

Name	Type	Description	Notes
name	str	A name of the contrast being performed.	[optional]
description	str	A long form description of how the contrast was performed	[optional]
weights	List[float]	Weight applied to each condition, must be the same length as the conditions attribute.	[optional]
study	str		[optional]
images	AnalysisRequestRelationshipsImages		[optional]
points	AnalysisRequestRelationshipsPoints		[optional]
conditions	AnalysisRequestRelationshipsConditions		[optional]
id	str	short UUID specifying the location of this resource	[optional]
public	bool	whether the resource is listed in public searches or not	[optional] [default to True]
table_id	str		[optional]
entities	List[Entity]		[optional]
order	int		[optional]
metadata	object		[optional]
role	str	What the coordinates are for (study_schema CoordinateRole): `result`, `anchor`, `localization`, `reference` or `other`; an open vocabulary, so the source's own wording may appear. Only a result is released in a studyset. Null on an analysis from before roles, which is read as a result, except on a set the study_schema ingester wrote, which is unclassified.	[optional]
relabelled_by	str	The parse_id of the reviewed revision whose relabel verdict set `role`; a later parse does not replace a relabelled role. Null while the role is the classifier's, whose name and version are in `metadata.role_source` (study_schema's `role_source`).	[optional]
outcome	str	Whether anything survived the analysis's threshold (study_schema AnalysisOutcome), from the extraction record. The ingester sets it only on results.	[optional]
from_prior_study	bool	The coordinates are quoted from an earlier study, not this one's.	[optional]

Example

from neurostore_sdk.models.analysis_request import AnalysisRequest

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

# convert the object into a dict
analysis_request_dict = analysis_request_instance.to_dict()
# create an instance of AnalysisRequest from a dict
analysis_request_from_dict = AnalysisRequest.from_dict(analysis_request_dict)

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