XGBoost model dump issue

minimal_example.py

# coding: utf-8

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import numpy as np
import pandas as pd
import xgboost as xgb
from scipy.sparse import csr_matrix


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np.random.seed(1)


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x_train_dense = (np.random.random((100, 5)) > .5)
x_train_sparse = csr_matrix(x_train_dense)
y_train = np.random.randint(2, size=(100, 1))


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booster_dense = xgb.train({'objective':'binary:logistic'}, xgb.DMatrix(x_train_dense, y_train), num_boost_round=10)


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booster_dense.get_dump(dump_format='json')


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x_train_sparse = csr_matrix(x_train_dense)


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booster_sparse = xgb.train({'objective':'binary:logistic'}, xgb.DMatrix(x_train_sparse, y_train), num_boost_round=10)


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booster_sparse.get_dump(dump_format='json')