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Fix DMatrix doc. (#4884)

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Jiaming Yuan 2019-09-23 01:55:04 -04:00 committed by GitHub
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commit c7416002e9
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1 changed files with 6 additions and 6 deletions
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python-package/xgboost/core.py
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@ -368,20 +368,19 @@ class DMatrix(object):
weight=None, silent=False, weight=None, silent=False,
feature_names=None, feature_types=None, feature_names=None, feature_types=None,
nthread=None): nthread=None):
""" """Parameters
Parameters
---------- ----------
data : os.PathLike/string/numpy.array/scipy.sparse/pd.DataFrame/ data : os.PathLike/string/numpy.array/scipy.sparse/pd.DataFrame/
dt.Frame/cudf.DataFrame dt.Frame/cudf.DataFrame
Data source of DMatrix. Data source of DMatrix.
When data is string or os.PathLike type, it represents the path libsvm format When data is string or os.PathLike type, it represents the path libsvm format
txt file, or binary file that xgboost can read from. txt file, or binary file that xgboost can read from.
label : list or numpy 1-D array, optional label : list, numpy 1-D array or cudf.DataFrame, optional
Label of the training data. Label of the training data.
missing : float, optional missing : float, optional
Value in the dense input data (e.g. `numpy.ndarray`) which needs Value in the input data which needs to be present as a missing
to be present as a missing value. If None, defaults to np.nan. value. If None, defaults to np.nan.
weight : list or numpy 1-D array , optional weight : list, numpy 1-D array or cudf.DataFrame , optional
Weight for each instance. Weight for each instance.
.. note:: For ranking task, weights are per-group. .. note:: For ranking task, weights are per-group.
@ -400,6 +399,7 @@ class DMatrix(object):
nthread : integer, optional nthread : integer, optional
Number of threads to use for loading data from numpy array. If -1, Number of threads to use for loading data from numpy array. If -1,
uses maximum threads available on the system. uses maximum threads available on the system.
""" """
# force into void_p, mac need to pass things in as void_p # force into void_p, mac need to pass things in as void_p
if data is None: if data is None: