Package ml :: Package lib :: Package scikit :: Module scikit :: Class SkRegressor

Class SkRegressor

       object --+    
                |    
learner.Regressor --+
                    |
                   SkRegressor

Instance Methods

[hide private]

__init__(self, config=None)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

load_training_dataset(self, dataset, class_name, desired_parallel_attributes=[], desired_source_attributes=[], desired_target_attributes=[], meta_attributes=[], scale=True)

source code

feature_selection(self, threshold=.25)

source code

set_learning_method(self)

source code

cross_validate_start(self, cv=10, n_jobs=15, scorer=None, fixed_folds=None)

source code

train_test(self, X_test, blah, dummy, roundup=None)

source code

Inherited from learner.Regressor: cross_validate_scores, predict_dataset, test_dataset, train

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__