[feature request] change verbosity level of _fit_and_score method

If I set verbose=2 within RandomizedSearchCV, I ideally want to see the steps that Parallel takes:

[Parallel(n_jobs=-1)]: Done   2 out of  10 | elapsed:   40.9s remaining:  2.7min

but I don't want to see the intermediate reporting of the CV search since that gets super noisy:

[CV] estimator__alpha=1.356430250055455e-06 ..........................
[CV] estimator__alpha=1.356430250055455e-06 ..........................
[CV] estimator__alpha=8.022557928125194e-06 ..........................
[CV] estimator__alpha=1.1751658491093436e-05 .........................
[CV] estimator__alpha=1.1751658491093436e-05 .........................
[CV] estimator__alpha=1.1751658491093436e-05 .........................
[CV] estimator__alpha=1.356430250055455e-06 ..........................
[CV] estimator__alpha=8.022557928125194e-06 ..........................

if we could change verbose > 1 to verbose > 2 this would solve my usecase.

scikit-learn/sklearn/model_selection/_validation.py

Lines 482 to 488 in acb8106

    
           if verbose > 1: 
        
               if parameters is None: 
        
                   msg = '' 
        
               else: 
        
                   msg = '%s' % (', '.join('%s=%s' % (k, v) 
        
                                 for k, v in parameters.items())) 
        
               print("[CV] %s %s" % (msg, (64 - len(msg)) * '.'))

I'd be happy to submit a PR if this makes sense.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!

Uh oh!

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

	if verbose > 1:
	if parameters is None:
	msg = ''
	else:
	msg = '%s' % (', '.join('%s=%s' % (k, v)
	for k, v in parameters.items()))
	print("[CV] %s %s" % (msg, (64 - len(msg)) * '.'))

Uh oh!

Description

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions