I would like to do some in-depth analysis of the distribution of scores for
each set of parameters in my parameter grid.
Is it safe to assume that the order of parameters in this list:
*list_of_parameters* =
list(sklearn.grid_search.ParameterGrid(my_parameter_grid)
is the same order in which scores are returned in:
clf = sklearn.grid_search.GridSearchCV(SVC, my_parameter_grid, ...)
clf.fit(X,y)
*list_of_scores_for_each_parameter* = [x.cv_validation_scores for x in
clf.cv_scores_]
This is all with 0.14-git
?
Josh
------------------------------------------------------------------------------
See everything from the browser to the database with AppDynamics
Get end-to-end visibility with application monitoring from AppDynamics
Isolate bottlenecks and diagnose root cause in seconds.
Start your free trial of AppDynamics Pro today!
http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
