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设置 rpy2 中的难点,安装rpy2难点

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设置 rpy2 中的难点,安装rpy2难点

安装 rpy2 中的难题,安装rpy2难点

参考:

1、 的Redme.md

python3中  jupyter notebook中rpy2的安装:

1、先安装R和RStudio

2、安装 rpy2  参考:

  1)      那么些网站中下载rpy2的whl包

  2)   通过pip install  xxx安装那个包,

  3)    python 中经过 import rpy2和  import rpy2.robjects as robjects 检查是不是安装成功

3、安装后出现的标题标解决办法 参谋:

    主就算要增加Wrangler_HOME 和R_USE凯雷德的景况变量

4、jupyter notebook 中运行

      %load_ext rpy2.ipython

报错:AttributeError: 'ZMQInteractiveShell' object has no attribute 'has_readline'

找了累累素材找不到原因,最终是通过conda install rpy2  重新安装rpy2能够化解,可能是自己在此之前设置的pip install whl版本不对

翻看批评

rpy2 中的难点,安装rpy2主题材料 参照他事他说加以考察: 1、 python3中 jupyter notebook中rpy2的安装: 1、先安装R和...

1。下载安装 福特Explorer语言

http://news.hiapk.com/internet/s593427f2c668.html

愿自身后来都活的像个混世大魔王,没心没肺,风生水起,什么牵制作者,笔者就丢弃什么

则运转出如下错误:

2.RAV4studio里面能够动用陆风X8 markdown, 类似jupyter-notebook作用。但要想接纳Jupyter新建昂科威script, 先要安装I兰德Highlanderkernel:步向CR-V, 运转:

Tensorflow安装

前方讲了那么多跟Tensorflow非亲非故的条件,今后毕竟到了重心了,然鹅,只怕会比你想像中简单非常多。因为自身是虚构机境况,未有真实的显卡,所以,唯有放任GPU的安插,选拔了唯有有CPU的Tensorflow。

  • 第一步: 参照官方网站的设置步骤
    具体来讲正是之类:

    图片 1

    Installing with Anaconda

第二步:划下珍视,这里会超出一个坑,或许您到了第四步,你平昔就下载不了这一个cpu版本的tensorflow,因为您连不上googleapis.com,所以,你不可能不得能够翻墙出去,也许说别的的地点能够下载这一个文件。

图片 2

Python3.6_Tensorflow只援助CPU的版本下载路线

因为本人设置的是Python 3.6本子,所以本人翻墙在官网络找到相呼应的tensorflow的本子,并下载到本地windows系统,这里还会有二个坑是,下载下来到windows系统的包是zip结尾的,,,可是,只要求多少改成.whl结尾的包,即可在Linux下喜上眉梢的设置了。
这里提供自身已经下载下来的本子地址,要求的情人能够平素获得
链接:https://pan.baidu.com/s/1kXqvnin 密码:akv1

将下载下来的包放在Ubuntu后,实行安装命令如下,就能够

pip install tensorflow-1.5.0-cp36-cp36m-linux_x86_64.whl

最后输入python代码验证下tensorflow是还是不是安装成功?

import tensorflow as tf
sess = tf.Session()
a = tf.constant(10)
b = tf.constant(25)
print(sess.run(a   b ))

图片 3

安装成功!!!

=====================================================

unable to load shared object 'C:/Program Files/R/R-3.4.3/library/stats/libs/x64/stats.dll':

3.接纳rpy2 python包在凯雷德-py之间切换:

Anaconda安装

就算自个儿今后也不显著是还是不是科学念对了它的读音,不过因为它的确是比比较多大神推荐的旗舰款(富含很比较多值总括的python包),先不管它的优短处,撸下来再说吧。

设置步骤极粗略:
在Anaconda官网下载跟系统对应的本子,举例,自己下载的是Anaconda3-5.0.1-Linux-x86_64.sh,运营命令安装

sudo bash Anaconda2-2.5.0-Linux-x86_64.sh

安装好之后,就选取conda命令对Anaconda进行政管理制(那个不是珍视,能够不看conda那块命令使用)

  • 更新conda
conda update conda
  • 来得可用packages
conda list
  • 从conda安装package
conda install package-name
  • 删除package
conda remove package-name
  • 更新package
conda update package-name

在HavalStudio里输入如下程序:

3.1 先安装rpy2:

前沿高能 → Jupyter “import tensorflow” 的巨坑和什么填掉巨坑

因为是重大,所以必然要加粗
*千帆竞发感觉装好了tensorflow,就足以在众星捧月的Jupyter Notebook里欢跃玩耍Tensorflow了,结果是,把同样的代码写入到Jupyter Notebook里,它却告诉自身它未有引进Tensorflow这几个模块,找了半天,终于找到了缓和方案,赞!

TensorFlow website supports five installations.
To my understanding, using Pip installation directly would be fine to import TensorFlow in Jupyter Notebook (as long as Jupyter Notebook was installed and there were no other issues) b/z it didn't create any virtual environments.
Using virtualenv install and conda install would need to install jupyter into the newly created TensorFlow environment to allow TensorFlow to work in Jupyter Notebook (see the following original post section for more details).
I believe docker install may require some port setup in the VirtualBox to make TensorFlow work in Jupyter Notebook (see this post).
For installing from sources, it also depends on which environment the source code is built and installed into. If it's installed into a freshly created virtual environment or an virtual environment which didn't have Jupyter Notebook installed, it would also need to install Jupyter Notebook into the virtual environment to use Tensorflow in Jupyter Notebook.

To use tensorflow in Ipython and/or Jupyter(Ipython) Notebook, you'll need to install Ipython and Jupyter (after installing tensorflow) under the tensorflow activated environment.

Before install Ipython and Jupyter under tensorflow environment, if you do the following commands in terminal:
username$ source activate tensorflow
(tensorflow)username$ which ipython
(tensorflow)username$ /Users/username/anaconda/bin/ipython

(tensorflow)username$ which jupyter
(tensorflow)username$ /Users/username/anaconda/bin/jupyter

(tensorflow)username$ which python
(tensorflow)username$ /User/username//anaconda/envs/tensorflow/bin/python

This is telling you that when you open python from terminal, it is using the one installed in the "environments" where tensorflow is installed. Therefore you can actually import tensorflow successfully. However, if you are trying to run ipython and/or jupyter notebook, these are not installed under the "environments" equipped with tensorflow, hence it has to go back to use the regular environment which has no tensorflow module, hence you get an import error.
You can verify this by listing out the items under envs/tensorflow/bin directory:

(tensorflow) username$ conda list

You will see that there are no "ipython" and/or "jupyer" listing out.
To use tensorflow with Ipython and/or Jupyter notebook, simply install them into the tensorflow environment:

(tensorflow) username$ conda install ipython
(tensorflow) username$ pip install jupyter

After installing them, there should be a "jupyer" and a "ipython" show up in the envs/tensorflow/bin/ directory.

Notes: Before trying to import tensorflow module in jupyter notebook, try close the notebook. And "source deactivate tensorflow" first, and then reactivate it ("source activate tensorflow") to make sure things are "on the same page". Then reopen the notebook and try import tensorflow. It should be import successfully (worked on mine at least).

**最主要正是,因为tensorflow的bin目录下并不曾设置ipython和jupyter,所以它无法再jupyter notebook上卿常import,必要特别安装ipython和jupyter包,安装成功后,通过 conda list命令能够看到jupyter和ipython。

末段关闭下开头张开的jupyter notebook,施行以下命令,再张开jupyter notebook就能够。

source deactivate tensorflow
source activate tensorflow

以上。

去https://www.rstudio.com/products/rstudio/download/下载RStudio-1.1.419.exe,并安装。

%load_ext rpy2.ipython

仿照效法链接,都充裕棒

你干吗要用Jupyter进行深入分析,博客园答
第叁遍相亲接触Jupyter Notebook
Installing TensorFlow on Ubuntu
介绍Jupyter扩大插件的设置和行使
Trouble with TensorFlow in Jupyter Notebook

图片 4

简书App

import rpy2.robjects as robjects

%R print("Hi from R")

Jupyter Notebook

设置收尾之后,直接在terminal对话框里输入

Jupyter Notebook

将会运维故事中特出好用的Jupyter Notebook,每种输入和输出都得以记录下来,好用的magic外部语法命令,并且还是能帮衬40种种脚本语言,外加马克down的作品证实,真是好到没朋友。呃呃呃。

图片 5

Jupyter Notebook大致长这么

上海体育场所中,侧面一栏的目录结构,在读者私下认可安装后,并不会现出,而是需求分外安装二个插件技能收看,运维如下命令安装该插件,耐心等待安装,同等对待新张开jupyter notebook,你拜见到

conda install -c conda-forge jupyter_contrib_nbextensions

图片 6

安装Nbextensions后Jupyter大约长这么

点击那几个扩大栏,然后勾选Table of Contents(2),你重新张开你的笔记*.ipynb,就能够看到如首先个图所示的侧边目录栏。

图片 7

勾选笔记内容目录情势

...Successfully installed rpy2-2.8.6


以下进程全部是在Ubuntu系统下达成的!

最终只能去 这里下载最新版本 rpy2-2.8.6-cp36-cp36m-win_amd64.whl


从入门到开端感性实践,也便是计划四个Ubuntu的设想情形,再接上网络,各样下载和布置情状的进程。其实,整个进程着实很轻便。

而是一向在python里输入

install.packages('devtools')

devtools::install_github('IRkernel/IRkernel')

IRkernel::installspec()

从今混世大魔王给自身安利了YJango的小说后,小编就对纵深学习着迷了,那注解,其实不是DL算法太难,而是讲算法的程度一贯影响了观众是或不是继续的欲望,倘若叁个参差不齐的业务能大致描述,并再升华到人生哲理,啊!基本笔者就退让了。

Error: Tried to guess R's HOME but no command 'R' in the PATH.

references:

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