c024c42dce
* Use sphinx gallery to integrate examples. * Remove mock objects. * Add dask doc inventory.
25 lines
775 B
Python
25 lines
775 B
Python
"""
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Demo for obtaining leaf index
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=============================
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"""
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import os
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import xgboost as xgb
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# load data in do training
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CURRENT_DIR = os.path.dirname(__file__)
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dtrain = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.train'))
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dtest = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.test'))
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param = {'max_depth': 2, 'eta': 1, 'objective': 'binary:logistic'}
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watchlist = [(dtest, 'eval'), (dtrain, 'train')]
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num_round = 3
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bst = xgb.train(param, dtrain, num_round, watchlist)
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print('start testing predict the leaf indices')
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# predict using first 2 tree
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leafindex = bst.predict(dtest, ntree_limit=2, pred_leaf=True)
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print(leafindex.shape)
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print(leafindex)
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# predict all trees
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leafindex = bst.predict(dtest, pred_leaf=True)
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print(leafindex.shape)
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