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kingfengji / gcForest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
http://lamda.nju.edu.cn/code_gcForest.ashx
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Is the `argparse` package still needed for the Python 3.5 version? #46

Open ShuaiHuang opened 6 years ago

ShuaiHuang commented 6 years ago

When I deploy the gcForest in the Anaconda environment with Python 3.5 using the following command

conda create -n gcForest python=3.5 argparse

and the error message is displayed as following:

Solving environment: failed

UnsatisfiableError: The following specifications were found to be in conflict:
  - argparse -> python=2.6
  - python=3.5
Use "conda info <package>" to see the dependencies for each package.

It seems that there is a confliction between Python 3.5 environment and the argparse package. So I am wondering whether the argparse is still required for the code in Python 3.5 version?