Documenting CSV loading into DMatrix (#3137)

* Support CSV file in DMatrix

We'd just need to expose the CSV parser in dmlc-core to the Python wrapper

* Revert extra code; document existing CSV support

CSV support is already there but undocumented

* Add notice about categorical features
This commit is contained in:
Philip Hyunsu Cho
2018-02-28 18:41:10 -08:00
committed by GitHub
parent d5992dd881
commit 32ea70c1c9
3 changed files with 17 additions and 6 deletions

View File

@@ -235,8 +235,6 @@ class DMatrix(object):
feature_names=None, feature_types=None,
nthread=None):
"""
Data matrix used in XGBoost.
Parameters
----------
data : string/numpy array/scipy.sparse/pd.DataFrame
@@ -706,7 +704,7 @@ class DMatrix(object):
class Booster(object):
""""A Booster of of XGBoost.
"""A Booster of of XGBoost.
Booster is the model of xgboost, that contains low level routines for
training, prediction and evaluation.
@@ -716,8 +714,7 @@ class Booster(object):
def __init__(self, params=None, cache=(), model_file=None):
# pylint: disable=invalid-name
"""Initialize the Booster.
"""
Parameters
----------
params : dict