AnalysisReturn.md

AnalysisReturn

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]
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]
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]
user	str	who owns the resource	[optional] [readonly]
username	str	human readable username	[optional]
study	str		[optional]
images	AnalysisReturnRelationshipsImages		[optional]
points	AnalysisReturnRelationshipsPoints		[optional]
conditions	AnalysisReturnRelationshipsConditions		[optional]
table_id	str		[optional]
entities	List[Entity]		[optional]
order	int		[optional]
metadata	object		[optional]
point_count	int	Number of point coordinates linked to this analysis.	[optional]
has_coordinates	bool		[optional]
has_images	bool		[optional]
has_z_maps	bool		[optional]
has_t_maps	bool		[optional]
has_beta_and_variance_maps	bool		[optional]

Example

from neurostore_sdk.models.analysis_return import AnalysisReturn

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

# convert the object into a dict
analysis_return_dict = analysis_return_instance.to_dict()
# create an instance of AnalysisReturn from a dict
analysis_return_from_dict = AnalysisReturn.from_dict(analysis_return_dict)

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