Package ml :: Package lib :: Package scikit :: Module scikit :: Class TerRegressor
[hide private]
[frames] | no frames]

Class TerRegressor

source code

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

Instance Methods [hide private]
 
__init__(self, config, skregressors, tergold)
x.__init__(...) initializes x; see help(type(x)) for signature
source code
 
cross_validate_start(self, cv=10, n_jobs=15, verbose=0, pre_dispatch='2*n_jobs', fit_params=None, fixed_folds=None, roundup=False) source code
 
train_test(self, X_test, verbose, fit_params, roundup=False) source code

Inherited from SkRegressor: feature_selection, load_training_dataset, set_learning_method

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__

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, config, skregressors, tergold)
(Constructor)

source code 

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__
(inherited documentation)

cross_validate_start(self, cv=10, n_jobs=15, verbose=0, pre_dispatch='2*n_jobs', fit_params=None, fixed_folds=None, roundup=False)

source code 
Overrides: SkRegressor.cross_validate_start

train_test(self, X_test, verbose, fit_params, roundup=False)

source code 
Overrides: SkRegressor.train_test