I am trying to install tensorflow, but when I run
pip install tensorflow
I get the following error:
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
In many other posts the solution is to upgrade the pip version. But mine already is version 21.1.1 and I still can not install tensorflow in my env..
What am I missing?
You can try this
pip install ISR --no-deps
However, have you used conda? It's really easy to install Tensorflow using it. Just
conda install Tensorflow
(if you don't have it install from here)
Best Regards, ykostov
You may be using python3 instead of python 2, if so try:
pip3 install tensorflow
I am trying to install flair. It is throwing below error when executing below command:
pip install flair
ERROR: Packages installed from PyPI cannot depend on packages which are not also hosted on PyPI.
tiny-tokenizer depends on SudachiDict_core# https://object-storage.tyo2.conoha.io/v1/nc_2520839e1f9641b08211a5c85243124a/sudachi/SudachiDict_core-20190927.tar.gz
I thought installing this package explicitly might fix the error but it doesn't. The error remains same.
The installed version of SudachiDict-core is below:
SudachiDict-core 0.0.0
Below is the Environment:
OS: Windows 10
Python: 3.6 (64 bit)
Any hint is appreciated. Thank you!
Note:
First hurdle when installing flair was torch package. It was resolved simply when torch package is installed. The error looked like below:
ERROR: Could not find a version that satisfies the requirement torch>=1.1.0 (from flair) (from verERROR: No matching distribution found for torch>=1.1.0 (from flair)
You can try
pip install --upgrade git+https://github.com/zalandoresearch/flair.git
Source: https://github.com/flairNLP/flair/issues/1327#issuecomment-571639994
Or
to install separately:
pip install tiny-tokenizer
After this run:
pip install flair
It is strange running below command solved the problem.
pip install flair==0.4.3
I assume that the problem is in a latest version 0.4.4 (and its dependencies).
Note: I had torch==1.1.0 package already installed.
I want to install tensorflow using pip. I ran pip install tensorflow but it shows an error message given below:
Could not find a version that satisfies the requirement tensorflow (from
versions: ) No matching distribution found for tensorflow
What OS? Which version of python?
If you are running a 32-bit version of python on Windows for example, tensorflow is not supported.
Also could be the case that your pip is not upgraded, in that case do:
pip install --upgrade pip
Also if you are using python 3.7, not yet supported by tensorflow.
I am installing tensorflow on a new virtualenvironment. When I try to pip install tensorflow I get the following message
Collecting tensorflow-gpu
Could not find a version that satisfies the requirement tensorflow-gpu (from
versions: )
No matching distribution found for tensorflow-gpu
I am using macOS yosemitie and python 3.6
I've tried the following:
Installing with python 3.5
Going to pypi, downloading the wheel and using pip on that
In addition, also trying to use the --use wheel option with pip
git cloning the tensorflow repo and installing with tensorflow/tools/pip_package/setup.py
So far nothing has worked. Any insight as to why and what I could do?
Note: As of version 1.2, TensorFlow no longer provides GPU support on macOS.
run the following without -gpu:
pip install --upgrade tensorflow # for Python 2.7
pip3 install --upgrade tensorflow # for Python 3.n
official instructions can be found here: Installing TensorFlow on macOS
I am trying to upgrade package of scikit-learn from 0.16 to 0.17. For that I am trying to use binaries from this website: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-learn. I have Windows 7 x64 bit. I downloaded the relevant package locally and gave following commands and got Requirement already up-to-date:
C:\Users\skumar>pip install --upgrade --use-wheel --no-index --find-links=../../
SOURCE/APPS scikit-learn
Ignoring indexes: https://pypi.python.org/simple
Requirement already up-to-date: scikit-learn in c:\anaconda3\lib\site-packages
Then I tried to upgrade it from remote site and got similar result:
C:\Users\skumar>pip install --upgrade --use-wheel --no-index --trusted-host www.
lfd.uci.edu --find-links=http://www.lfd.uci.edu/~gohlke/pythonlibs/ scikit-learn
Ignoring indexes: https://pypi.python.org/simple
Requirement already up-to-date: scikit-learn in c:\anaconda3\lib\site-packages
On Remote site there are two versions i.e., 0.16 & 0.17. Is there a way to specify version in command? Or how do you install/upgrade wheel file?
Anaconda comes with the conda package manager which is designed to handle these kinds of upgrades. Start by updating conda itself to get the most recent package lists:
conda update conda
And then install the version of scikit-learn you want
conda install scikit-learn=0.17
All necessary dependencies will be upgraded as well. If you have trouble with conda on Windows, there are some relevant FAQ here: http://docs.continuum.io/anaconda/faq
Following Worked for me for scikit-learn on Anaconda-Jupyter Notebook.
Upgrading my scikit-learn from 0.19.1 to 0.19.2 in anaconda installed on Ubuntu on Google VM instance:
Run the following commands in the terminal:
First, check existing available packages with versions by using:
conda list
It will show different packages and their installed versions in the output. Here check for scikit-learn. e.g. for me, the output was:
scikit-learn 0.19.1 py36hedc7406_0
Now I want to Upgrade to 0.19.2 July 2018 release i.e. latest available version.
conda config --append channels conda-forge
conda install scikit-learn=0.19.2
As you are trying to upgrade to 0.17 version try the following command:
conda install scikit-learn=0.17
Now check the required version of the scikit-learn is installed correctly or not by using:
conda list
For me the Output was:
scikit-learn 0.19.2 py36_blas_openblasha84fab4_201 [blas_openblas] conda-forge
Note: Don't use pip command if you are using Anaconda or Miniconda
I tried following commands:
!conda update conda
!pip install -U scikit-learn
It will install the required packages also will show in the conda list but if you try to import that package it will not work.
On the website http://scikit-learn.org/stable/install.html it is mentioned as:
Warning To upgrade or uninstall scikit-learn installed with Anaconda or conda you should not use the pip.
So to upgrade scikit-learn package, you have to follow below process
Step-1: Open your terminal(Ctrl+Alt+t)
Step-2: Now for checking currently installed packages along with the
versions installed on your
conda environment by typing conda list
Step-3: Now for upgrade type below command
conda update scikit-learn
Hope it helps!!
I would suggest using conda. Conda is an anconda specific package manager. If you want to know more about conda, read the conda docs.
Using conda in the command line, the command below would install scipy 0.17.
conda install scipy=0.17.0
Updating a Specific Library - scikit-learn:
Anaconda (conda):
conda install scikit-learn
Pip Installs Packages (pip):
pip install --upgrade scikit-learn
Verify Update:
conda list scikit-learn
It should now display the current (and desired) version of the scikit-learn library.
For me personally, I tried using the conda command to update the scikit-learn library and it acted as if it were installing the latest version to then later discover (with an execution of the conda list scikit-learn command) that it was the same version as previously and never updated (or recognized the update?). When I used the pip command, it worked like a charm and correctly updated the scikit-learn library to the latest version!
Hope this helps!
More in-depth details of latest version can be found here (be mindful this applies to the scikit-learn library version of 0.22):
Release Highlights for scikit-learn 0.22
I made it work to update to 0.24.1, on Windows 10 64bits, so I share the way I did it with the GUI:
launch Anaconda3 gui
on the left menu, click "environments"
next to "base (root)", click on the green arrow/triangle
select "Open Terminal"
type the command line:
conda install scikit-learn==0.24.1
It worked without error.
If you are using Jupyter in anaconda, after conda update scikit-learn in terminal, close anaconda and restart, otherwise the error will occur again.