update python intro doc (#10033)
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@ -63,7 +63,7 @@ The input data is stored in a :py:class:`DMatrix <xgboost.DMatrix>` object. For
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.. code-block:: python
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dtrain = xgb.DMatrix('train.svm.txt')
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dtrain = xgb.DMatrix('train.svm.txt?format=libsvm')
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dtrain.save_binary('train.buffer')
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* Missing values can be replaced by a default value in the :py:class:`DMatrix <xgboost.DMatrix>` constructor:
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@ -86,7 +86,7 @@ to number of groups.
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.. code-block:: python
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dtrain = xgb.DMatrix('train.svm.txt')
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dtrain = xgb.DMatrix('train.svm.txt?format=libsvm')
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dtest = xgb.DMatrix('test.svm.buffer')
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The parser in XGBoost has limited functionality. When using Python interface, it's
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@ -176,7 +176,6 @@ Support Matrix
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+-------------------------+-----------+-------------------+-----------+-----------+--------------------+-------------+
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| pyarrow.Table | NPA | NPA | NPA | NPA | NPA | NPA |
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+-------------------------+-----------+-------------------+-----------+-----------+--------------------+-------------+
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+-------------------------+-----------+-------------------+-----------+-----------+--------------------+-------------+
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| _\_array\_\_ | NPA | F | NPA | NPA | H | |
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+-------------------------+-----------+-------------------+-----------+-----------+--------------------+-------------+
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| Others | SciCSR | F | | F | F | |
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@ -240,7 +239,7 @@ A saved model can be loaded as follows:
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.. code-block:: python
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bst = xgb.Booster({'nthread': 4}) # init model
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bst.load_model('model.bin') # load data
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bst.load_model('model.bin') # load model data
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Methods including `update` and `boost` from `xgboost.Booster` are designed for
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internal usage only. The wrapper function `xgboost.train` does some
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