nimare.parcellate.cbp
.ImCBP¶
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class
ImCBP
(dataset, ids)[source]¶ Image-based coactivation-based parcellation
Warning
This method is not yet implemented.
Methods
fit
(self, target_mask[, n_parcels])param target_mask: Image with binary mask for region of interest to be parcellated. get_params
(self[, deep])Get parameters for this estimator. load
(filename[, compressed])Load a pickled class instance from file. save
(self, filename[, compress])Pickle the class instance to the provided file. set_params
(self, \*\*params)Set the parameters of this estimator. -
fit
(self, target_mask, n_parcels=2)[source]¶ Parameters: - target_mask (img_like) – Image with binary mask for region of interest to be parcellated.
- n_parcels (
int
or array_like ofint
, optional) – Number of parcels to generate for ROI. If array_like, each parcel number will be evaluated and results for all will be returned. Default is 2. - n_iters (
int
, optional) – Number of iterations to run for each parcel number. Default is 10000. - n_cores (
int
, optional) – Number of cores to use for model fitting.
Returns: Return type: results
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get_params
(self, deep=True)[source]¶ Get parameters for this estimator.
Parameters: deep (boolean, optional) – If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns: params – Parameter names mapped to their values. Return type: mapping of string to any
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classmethod
load
(filename, compressed=True)[source]¶ Load a pickled class instance from file.
Parameters: Returns: obj – Loaded class object.
Return type: class object
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save
(self, filename, compress=True)[source]¶ Pickle the class instance to the provided file.
Parameters:
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set_params
(self, **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.Returns: Return type: self
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