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def | util.convertXGBoostToRootTree.dump_tree (tree_structure) |
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def | util.convertXGBoostToRootTree.dump2ROOT (model, output_filename, output_treename='xgboost') |
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def | util.convertXGBoostToRootTree.convertXGBoostToRootTree (model, output_filename, tree_name='xgboost') |
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def | util.convertXGBoostToRootTree.test (model_file, tree_file, objective, tree_name='xgboost', ntests=10000, test_file=None) |
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def | util.convertXGBoostToRootTree.test_regression (booster, mva_utils, objective, ntests=10000, test_file=None) |
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def | util.convertXGBoostToRootTree.test_binary (booster, mva_utils, objective, ntests=10000, test_file=None) |
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def | util.convertXGBoostToRootTree.test_multiclass (booster, mva_utils, objective, ntests=10000, test_file=None) |
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def | util.convertXGBoostToRootTree.check_file (fn) |
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string | util.convertXGBoostToRootTree.__doc__ = "Convert XGBoost model to TTree to be used with MVAUtils." |
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string | util.convertXGBoostToRootTree.__author__ = "Yuan-Tang Chou" |
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| util.convertXGBoostToRootTree.level |
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| util.convertXGBoostToRootTree.parser = argparse.ArgumentParser(description=__doc__) |
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| util.convertXGBoostToRootTree.help |
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| util.convertXGBoostToRootTree.type |
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| util.convertXGBoostToRootTree.str |
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| util.convertXGBoostToRootTree.default |
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| util.convertXGBoostToRootTree.action |
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| util.convertXGBoostToRootTree.int |
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| util.convertXGBoostToRootTree.args = parser.parse_args() |
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list | util.convertXGBoostToRootTree.supported_objective = ['binary:logistic', 'reg:linear', 'reg:squarederror','multi:softprob'] |
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def | util.convertXGBoostToRootTree.output_treename = convertXGBoostToRootTree(args.input, args.output, args.tree_name) |
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def | util.convertXGBoostToRootTree.result = test(args.input, args.output, args.objective, args.tree_name, args.ntests, args.test_file) |
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| util.convertXGBoostToRootTree.objective = args.objective |
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| util.convertXGBoostToRootTree.data = np.load(args.test_file) |
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