Is the process of converting an object to a byte stream, and the inverse Python objects to the majority of the built-in python types. (Using 'conda install' of course did not resolve the issue either.Dill extends python’s pickle module for serializing and de-serializing When I compile the kubeflow pipeline of this jupyter notebook and look at the execution in the experiment, it returns an error in each case (after commenting out appropriate sections in the code), 'seaborn not found' or 'imblearn not found', respectively. Tensorflow-model-analysis 0.9.2 0.13.0 wheel Tensorflow-data-validation 0.9.0 0.13.1 wheel Googleapis-common-protos 1.5.5 1.5.8 sdist Google-api-python-client 1.7.6 1.7.8 sdist package 'imbalanced-learn') appear in the listing: When I execute '!pip list -o -format columns' in the notebook, neither 'seaborn' or 'imblearn' (i.e. Python3 -m pip install -user tensorflow numpy scipy sklearn pandas pandas-gbq xlrd matplotlib seaborn imbalanced-learnīut to the same effect in the end, seaborn and imblearn do not appear in the pip list.)
I then try to install different packages for example with these commands: I use the Python3 kernel for the notebook. I tried several different alternatives considering the Python environment in which the packages might be installed, but those two packages do not appear when I run a 'pip list' no matter what I do. I also am trying to pip install two packages (seaborn, imblearn) on a jupyter notebook in kubeflow (trying to create a pipeline for a workflow). Self.move_wheel_files(self.source_dir, root=root, prefix=prefix)įile "/opt/conda/lib/python3.6/site-packages/pip/req/req_install.py", line 1064, in move_wheel_filesįile "/opt/conda/lib/python3.6/site-packages/pip/wheel.py", line 352, in move_wheel_filesįile "/opt/conda/lib/python3.6/site-packages/pip/wheel.py", line 316, in clobberįile "/opt/conda/lib/python3.6/site-packages/pip/utils/ init.py", line 83, in ensure_dirįile "/opt/conda/lib/python3.6/os.py", line 220, in makedirs Installing collected packages: simplejson, pyglot, future, pyglet, gymįile "/opt/conda/lib/python3.6/site-packages/pip/basecommand.py", line 215, in mainįile "/opt/conda/lib/python3.6/site-packages/pip/commands/install.py", line 342, in runįile "/opt/conda/lib/python3.6/site-packages/pip/req/req_set.py", line 784, in installįile "/opt/conda/lib/python3.6/site-packages/pip/req/req_install.py", line 851, in install Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.6/site-packages (from requests>=2.0->gym->-r /mnt/mingd Requirement already satisfied: urllib3=1.21.1 in /opt/conda/lib/python3.6/site-packages (from requests>=2.0->gym->-r /mnt/mi Requirement already satisfied: idna=2.5 in /opt/conda/lib/python3.6/site-packages (from requests>=2.0->gym->-r /mnt/mingdisk1 Requirement already satisfied: chardet=3.0.2 in /opt/conda/lib/python3.6/site-packages (from requests>=2.0->gym->-r /mnt/mi Pls see screenshot i am getting permission error issues while trying to do pip install gymĬollecting future (from pyglet>=1.2.0->gym->-r /mnt/mingdisk1/requirements.txt (line 2))
* Update the hub spawner dropdown for latest NB images ( #697) cc Migrate images to kubeflow-images-public ( #695)
Point them to kubeflow-images-public instead of kubeflow-images-staging * Update various images in kubeflow to kubeflow-images-public ( #635)
Run everything as jovyan user - this enables user to run conda installĬomponents/tensorflow-notebook-image/DockerfileĬomponents/tensorflow-notebook-image/build_image.shĬomponents/tensorflow-notebook-image/releaser/components/workflows.libsonnet Having a lot of packages makes it very challenging to maintain them Image size has gone down from 12GB to 3GB for cpu image Any packages required can be installedīy the user in the notebook itself using pip install/conda install Remove a lot of bloat - install only the minimal set of packages * Refactor tensorflow-notebook-image/Dockerfile ( #689)