def try_params( n_iterations, params ):
n_estimators = int( round( n_iterations * trees_per_iteration ))
print "n_estimators:", n_estimators
pprint( params )
clf = XT( n_estimators = n_estimators, verbose = 0, n_jobs = -1, **params )
return train_and_eval_sklearn_classifier( clf, data )
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