The ParameterGrid object is created before the jobs are run, so it would be
trivial to move this object creation up, calculate the number of jobs and
output it. Happy to take a PR.
On 10 July 2013 08:57, Joel Nothman <jnoth...@student.usyd.edu.au> wrote:
> The number of jobs is actually len(ParameterGrid(search.param_grid)) *
> len(check_cv(search.cv)), and I think this should be output at the start
> of the search if verbose >= 1, and perhaps should also be calculated by
> some method, so a user can estimate the time before finalising the grid...
>
> - Joel
>
>
>
> On Wed, Jul 10, 2013 at 8:50 AM, Robert Layton <robertlay...@gmail.com>wrote:
>
>> Hi Josh,
>>
>> This is decided by the param_grid that you give it. The actual internals
>> is handled by the ParameterGrid class (
>> http://scikit-learn.org/dev/modules/generated/sklearn.grid_search.ParameterGrid.html
>> ).
>>
>> The example on that page shows how you could calculate the number of runs
>> based on your parameter set.
>>
>> Thanks,
>>
>> Robert
>>
>>
>>
>> On 10 July 2013 08:44, Josh Wasserstein <ribonucle...@gmail.com> wrote:
>>
>>> Hi there,
>>>
>>> Prior to running clf.fit(X,y) with GridSearchCV is there any easy/direct
>>> way to know how many jobs will GridSearchCV run? (i.e. the total number of
>>> parameter combinations in the grid search)
>>>
>>> Josh
>>>
>>>
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