nimare.meta.ibma.IBMAEstimator
- class IBMAEstimator(*, mask=None, resample=False, memory_limit=None, **kwargs)[source]
Bases:
EstimatorBase class for meta-analysis methods in
meta.New in version 0.0.12:
IBMA-specific elements of
MetaEstimatorexcised and used to createIBMAEstimator.Generic kwargs and args converted to named kwargs. All remaining kwargs are for resampling.
Methods
fit(dataset[, drop_invalid])Fit Estimator to Dataset.
get_params([deep])Get parameters for this estimator.
load(filename[, compressed])Load a pickled class instance from file.
save(filename[, compress])Pickle the class instance to the provided file.
set_params(**params)Set the parameters of this estimator.
- fit(dataset, drop_invalid=True)[source]
Fit Estimator to Dataset.
- Parameters
- Returns
Results of Estimator fitting.
- Return type
- Variables
inputs (
dict) – Inputs used in _fit.
- classmethod load(filename, compressed=True)[source]
Load a pickled class instance from file.
- Parameters
- Returns
obj – Loaded class object.
- Return type
class object
- set_params(**params)[source]
Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form
<component>__<parameter>so that it’s possible to update each component of a nested object.- Return type
self
