the specification for the function/class running the meta-analysis
| Name | Type | Description | Notes |
|---|---|---|---|
| type | str | the meta-analytic algorithm applied to the data. Currently this should be directly tied to the function/class running the meta-analysis. For example, ALE, or MKDADensity are valid NiMARE classes to put here. | [optional] |
| args | object | arbitrary keyword arguments to be passed into the function/class to modify default functionality, this could modify the kernel, resampling methods, or any other behavior defined in the function/class (like MKDADensity). | [optional] |
from neurosynth_compose_sdk.models.estimator import Estimator
# TODO update the JSON string below
json = "{}"
# create an instance of Estimator from a JSON string
estimator_instance = Estimator.from_json(json)
# print the JSON string representation of the object
print Estimator.to_json()
# convert the object into a dict
estimator_dict = estimator_instance.to_dict()
# create an instance of Estimator from a dict
estimator_form_dict = estimator.from_dict(estimator_dict)