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] | |
entities | List[Entity] | [optional] | |
order | int | [optional] | |
metadata | object | [optional] |
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_form_dict = analysis_return.from_dict(analysis_return_dict)