xt.py 文件源码

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_regressor( clf, data )