conda install currently breaks when using python 3.6 about category_encoders

[wdm0006]

hm... @bollwyvl do you know what this would be? I don't know conda particularly well.

[joseph-jnl]

I think the output for 'conda info category_encoders' suggests there isn't a package built for python 3.6 yet on conda forge.

category_encoders 1.2.2 py27_0

file name : category_encoders-1.2.2-py27_0.tar.bz2
name : category_encoders
version : 1.2.2
build string: py27_0
build number: 0
channel : conda-forge
size : 21 KB
arch : x86_64
license : BSD-3-Clause
license_family: BSD
md5 : 63ed69d36cff5e09e0d49ab778a5dc63
noarch : None
platform : linux
requires : ()
subdir : linux-64
url : https://conda.anaconda.org/conda-forge/linux-64/category_encoders-1.2.2-py27_0.tar.bz2
dependencies:
numpy >=1.9.0
pandas >=0.16.0
patsy >=0.4.0
python 2.7*
scikit-learn >=0.15.0
scipy >=0.9
statsmodels >=0.6.0

category_encoders 1.2.2 py34_0

file name : category_encoders-1.2.2-py34_0.tar.bz2
name : category_encoders
version : 1.2.2
build string: py34_0
build number: 0
channel : conda-forge
size : 21 KB
arch : x86_64
license : BSD-3-Clause
license_family: BSD
md5 : f3212fd6ed0ed15146858489c4330758
noarch : None
platform : linux
requires : ()
subdir : linux-64
url : https://conda.anaconda.org/conda-forge/linux-64/category_encoders-1.2.2-py34_0.tar.bz2
dependencies:
numpy >=1.9.0
pandas >=0.16.0
patsy >=0.4.0
python 3.4*
scikit-learn >=0.15.0
scipy >=0.9
statsmodels >=0.6.0

category_encoders 1.2.2 py35_0

file name : category_encoders-1.2.2-py35_0.tar.bz2
name : category_encoders
version : 1.2.2
build string: py35_0
build number: 0
channel : conda-forge
size : 21 KB
arch : x86_64
license : BSD-3-Clause
license_family: BSD
md5 : bb02504c5fd5293715df23e2bb3fa24b
noarch : None
platform : linux
requires : ()
subdir : linux-64
url : https://conda.anaconda.org/conda-forge/linux-64/category_encoders-1.2.2-py35_0.tar.bz2
dependencies:
numpy >=1.9.0
pandas >=0.16.0
patsy >=0.4.0
python 3.5*
scikit-learn >=0.15.0
scipy >=0.9
statsmodels >=0.6.0

category_encoders 1.2.3 py27_0

file name : category_encoders-1.2.3-py27_0.tar.bz2
name : category_encoders
version : 1.2.3
build string: py27_0
build number: 0
channel : conda-forge
size : 21 KB
arch : x86_64
has_prefix : False
license : BSD-3-Clause
license_family: BSD
md5 : d8cbae74dd25a705f565949c4c356b7d
noarch : None
platform : linux
requires : ()
subdir : linux-64
url : https://conda.anaconda.org/conda-forge/linux-64/category_encoders-1.2.3-py27_0.tar.bz2
dependencies:
numpy >=1.8.0
pandas >=0.15.0
patsy >=0.4.0
python 2.7*
scikit-learn >=0.15.0
scipy >=0.9
statsmodels >=0.6.0

category_encoders 1.2.3 py34_0

file name : category_encoders-1.2.3-py34_0.tar.bz2
name : category_encoders
version : 1.2.3
build string: py34_0
build number: 0
channel : conda-forge
size : 22 KB
arch : x86_64
has_prefix : False
license : BSD-3-Clause
license_family: BSD
md5 : db69f6cb82c45baf285015c4bd6bfdd0
noarch : None
platform : linux
requires : ()
subdir : linux-64
url : https://conda.anaconda.org/conda-forge/linux-64/category_encoders-1.2.3-py34_0.tar.bz2
dependencies:
numpy >=1.8.0
pandas >=0.15.0
patsy >=0.4.0
python 3.4*
scikit-learn >=0.15.0
scipy >=0.9
statsmodels >=0.6.0

category_encoders 1.2.3 py35_0

file name : category_encoders-1.2.3-py35_0.tar.bz2
name : category_encoders
version : 1.2.3
build string: py35_0
build number: 0
channel : conda-forge
size : 224 KB
arch : x86_64
has_prefix : False
license : BSD-3-Clause
license_family: BSD
md5 : 325e15445ea196b68642bf25828b34cc
noarch : None
platform : linux
requires : ()
subdir : linux-64
url : https://conda.anaconda.org/conda-forge/linux-64/category_encoders-1.2.3-py35_0.tar.bz2
dependencies:
numpy >=1.8.0
pandas >=0.15.0
patsy >=0.4.0
python 3.5*
scikit-learn >=0.15.0
scipy >=0.9
statsmodels >=0.6.0

[wdm0006]

There have been some updates in the conda repo on this, is your issue resolved now?

[joseph-jnl]

It is - thanks for the quick turnaround!

[wdm0006]

Yep, thanks @bollwyvl!

[bollwyvl]

Yeah, sorry for the delay, friends! You can definitely bother us (me, new maintainer @nirajd, who anticipated your need, and anyone else we can cajole into maintain packaging!) over here for conda-related issues!