You can create a conda environment from a local file repository for clusters where all hosts do not have internet access. Or administrators want to control the packages available to users rather than allowing them to download packages from various conda
When setting up miniconda I get the following last lines in the log: Creating conda environment from yaml file... /usr/share/miniconda/condabin/conda env create --file environment.yml --name practical-omnitigs Collecting package metadata...
$ conda env create --quiet --name conda-env-py3.7 --file environment.yml Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies. Conda may not use the correct pip to install your packages, and they may end...
Create a conda environment to install the Azure ML Quick Launch Toolkit to avoid any possible conflicts with existing libraries in your machine using the following code: conda create -n azureml-ngc-tools python=3.8 conda activate azureml-ngc-tools Install the Azure ML Quick Launch Too...
#Create a new conda environmentconda create -n fl_env python=3.9#Activate envconda activate fl_env#Install Watson Machine Learning client#If you are running 4.0.3 or above, you can install the dependencies requiredforFederated Learning using an"extras"#The [fl] extras will install scikit-learn...
I'm submitting a... bug report feature request Current Behavior Running conda env create -f environment.yml, many packages fail from ResolvePackageNotFound. The environment.yml was exported from a machine where the environment was workin...
I'm using a memory-constrained VM (DigitalOcean 512 MB droplet, although ~300 MB are used by other processes). When I run conda env create with the following environment.yml file: name: test channels: - conda-forge dependencies: - python...
wml_client.package_extensions.ConfigurationMetaNames.NAME:'My custom library',# optional:# wml_client.software_specifications.ConfigurationMetaNames.DESCRIPTION:wml_client.package_extensions.ConfigurationMetaNames.TYPE:'conda_yml'} Create a yaml file containing the list of additional packages and save...
If you are using conda, create a new environment running Python 3.7: conda create --name py37 python=3.7 Activate your new conda environment: conda activate py37 Install pip if it is not already available with your Python installation. A Python 3 installation (>=3.4) should automatically ...
#Create a new conda environmentconda create -n fl_env python=3.9#Activate envconda activate fl_env#Install Watson Machine Learning client#If you are running 4.0.3 or above, you can install the dependencies requiredforFederated Learning using an"extras"#The [fl] extras will install scikit-learn...