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Fixed all lint errors

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This commit is contained in:
terrytangyuan 2015-12-11 18:46:15 -06:00
parent a7e79e089b
commit 0eb6240fd0
6 changed files with 7 additions and 7 deletions
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2
python-package/.pylintrc
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@ -2,7 +2,7 @@
ignore=tests ignore=tests
unexpected-special-method-signature,too-many-nested-blocks,consider-using-enumerate unexpected-special-method-signature,too-many-nested-blocks
dummy-variables-rgx=(unused|)_.* dummy-variables-rgx=(unused|)_.*

2
python-package/setup_pip.py
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@ -11,7 +11,7 @@ sys.path.insert(0, '.')
#it builds xgboost code on the fly and packs for pip #it builds xgboost code on the fly and packs for pip
#please don't use this file for installing from github #please don't use this file for installing from github
if not os.name == 'nt': #if not windows, compile and install if os.name != 'nt': #if not windows, compile and install
os.system('sh ./xgboost/build-python.sh') os.system('sh ./xgboost/build-python.sh')
else: else:
print('Windows users please use github installation.') print('Windows users please use github installation.')

2
python-package/xgboost/compat.py
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@ -1,5 +1,5 @@
# coding: utf-8 # coding: utf-8
# pylint: disable=unused-import, invalid-name # pylint: disable=unused-import, invalid-name, wrong-import-position
"""For compatibility""" """For compatibility"""
from __future__ import absolute_import from __future__ import absolute_import

1
python-package/xgboost/core.py
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@ -890,6 +890,7 @@ class Booster(object):
_check_call(_LIB.XGBoosterLoadModelFromBuffer(self.handle, ptr, length)) _check_call(_LIB.XGBoosterLoadModelFromBuffer(self.handle, ptr, length))
def dump_model(self, fout, fmap='', with_stats=False): def dump_model(self, fout, fmap='', with_stats=False):
# pylint: disable=consider-using-enumerate
""" """
Dump model into a text file. Dump model into a text file.

3
python-package/xgboost/plotting.py
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@ -5,12 +5,11 @@
from __future__ import absolute_import from __future__ import absolute_import
import re import re
from io import BytesIO
import numpy as np import numpy as np
from .core import Booster from .core import Booster
from .sklearn import XGBModel from .sklearn import XGBModel
from io import BytesIO
def plot_importance(booster, ax=None, height=0.2, def plot_importance(booster, ax=None, height=0.2,
xlim=None, ylim=None, title='Feature importance', xlim=None, ylim=None, title='Feature importance',
xlabel='F score', ylabel='Features', xlabel='F score', ylabel='Features',

4
python-package/xgboost/sklearn.py
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@ -130,7 +130,7 @@ class XGBModel(XGBModelBase):
def fit(self, X, y, eval_set=None, eval_metric=None, def fit(self, X, y, eval_set=None, eval_metric=None,
early_stopping_rounds=None, verbose=True): early_stopping_rounds=None, verbose=True):
# pylint: disable=missing-docstring,invalid-name,attribute-defined-outside-init # pylint: disable=missing-docstring,invalid-name,attribute-defined-outside-init, redefined-variable-type
""" """
Fit the gradient boosting model Fit the gradient boosting model
@ -265,7 +265,7 @@ class XGBClassifier(XGBModel, XGBClassifierBase):
def fit(self, X, y, sample_weight=None, eval_set=None, eval_metric=None, def fit(self, X, y, sample_weight=None, eval_set=None, eval_metric=None,
early_stopping_rounds=None, verbose=True): early_stopping_rounds=None, verbose=True):
# pylint: disable = attribute-defined-outside-init,arguments-differ # pylint: disable = attribute-defined-outside-init,arguments-differ, redefined-variable-type
""" """
Fit gradient boosting classifier Fit gradient boosting classifier