用一条毒蛇安装tensorflow for R？

Question

我想为R.安装tensorflow (也包括Keras )

我用的是这些线

install.packages("keras")
install.packages("tensorflow")

library(keras)
library(tensorflow)

现在我想做的是：

install_tensorflow()
install_keras()

但是我的python环境不一致。有没有办法告诉R去寻找虚拟python环境?

谢谢

编辑:这是错误告诉我，我的环境是不一致的。

> install_tensorflow()
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... 
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - defaults/win-64::anaconda==custom=py37_1
  - defaults/win-64::bkcharts==0.2=py37_0
  - defaults/noarch::dask==2.5.2=py_0
  - defaults/noarch::ipywidgets==7.5.1=py_0
  - defaults/noarch::jupyterlab==1.2.6=pyhf63ae98_0
  - defaults/noarch::jupyterlab_server==1.1.4=py_0
  - defaults/win-64::keras==2.2.4=0
  - defaults/noarch::seaborn==0.10.1=py_0
  - defaults/win-64::statsmodels==0.10.1=py37h8c2d366_0
  - defaults/noarch::tensorboard==2.0.0=pyhb38c66f_1
  - defaults/win-64::tensorflow==1.15.0=mkl_py37h3789bd0_0
  - defaults/win-64::tensorflow-base==1.15.0=mkl_py37h190a33d_0
  - defaults/noarch::tensorflow-estimator==1.15.1=pyh2649769_0
  - defaults/win-64::widgetsnbextension==3.5.1=py37_0
  - defaults/win-64::_anaconda_depends==2019.03=py37_0
  - defaults/win-64::_ipyw_jlab_nb_ext_conf==0.1.0=py37_0
failed with initial frozen solve. Retrying with flexible solve.

Answer 1

谢谢@TFer，在尝试之前的方法"virtualen“时，我忽略了envname参数。

解决方案只是通过在函数中传递这些选项来创建一个新的虚拟env：

install_tensorflow(method="virtualenv", envname="venv-R")