_combine_const() in pandas.sparse.frame does not have uniform method signature with pandas.core.frame
#### Code Sample

`>>> import pandas as pd`
 `>>> df = pd.DataFrame(np.zeros((4,5),dtype=int))`
`>>> sparse = df.to_sparse()`
`>>> sparse.loc[[1]] != 0`
#### Expected Output

  `0      1      2      3      4`
 `1  False  False  False  False  False`
### Observed Output

`TypeError: _combine_const() got an unexpected keyword argument 'raise_on_error'`
#### output of `pd.show_versions()`

INSTALLED VERSIONS
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 4.2.0-35-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.18.0
nose: None
pip: 8.1.1
setuptools: 20.9.0
Cython: None
numpy: 1.10.4
scipy: 0.16.1
statsmodels: None
xarray: None
IPython: None
sphinx: 1.3.1
patsy: None
dateutil: 2.5.2
pytz: 2016.3
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.3.1
openpyxl: None
xlrd: None
xlwt: 1.0.0
xlsxwriter: None
lxml: None
bs4: None
html5lib: 0.999
httplib2: 0.8
apiclient: None
sqlalchemy: 1.0.11
pymysql: None
psycopg2: 2.6.1 (dt dec pq3 ext lo64)
jinja2: 2.8
boto: None
### Reason

`pandas.core.frame` implements `_combine_const(self, other, func, raise_on_error=True)`

while `pandas.sparse.frame` implements `_combine_const(self, other, func)`

and the missing argument in the signature is the cause of the error when using sparse frames. This is raised due to the call `res = self._combine_const(other, func, raise_on_error=False)` from `_comp_method_FRAME` at `pandas.core.ops` 
