mvpa2.clfs.meta.BoostedClassifierSensitivityAnalyzer¶
-
class
mvpa2.clfs.meta.
BoostedClassifierSensitivityAnalyzer
(*args_, **kwargs_)¶ Set sensitivity analyzers to be merged into a single output
Notes
Available conditional attributes:
calling_time+
: Nonenull_prob+
: Nonenull_t
: Noneraw_results
: Nonetrained_dataset
: Nonetrained_nsamples+
: Nonetrained_targets+
: Nonetraining_time+
: None
(Conditional attributes enabled by default suffixed with
+
)Attributes
auto_train
Whether the Learner performs automatic trainingwhen called untrained. clf
combined_analyzer
descr
Description of the object if any feature_ids
Return feature_ids used by the underlying classifier force_train
Whether the Learner enforces training upon everycalled. is_trained
null_dist
Return Null Distribution estimator pass_attr
Which attributes of the dataset or self.ca to pass into result dataset upon call postproc
Node to perform post-processing of results space
Processing space name of this node Methods
Initialize instance of BoostedClassifierSensitivityAnalyzer
Parameters: enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
Attributes
auto_train
Whether the Learner performs automatic trainingwhen called untrained. clf
combined_analyzer
descr
Description of the object if any feature_ids
Return feature_ids used by the underlying classifier force_train
Whether the Learner enforces training upon everycalled. is_trained
null_dist
Return Null Distribution estimator pass_attr
Which attributes of the dataset or self.ca to pass into result dataset upon call postproc
Node to perform post-processing of results space
Processing space name of this node Methods
-
combined_analyzer
¶