![]() ![]() That is especially true if you want to go beyond watching your learning curve and want to see additional information like performance charts, or prediction visualizations after every epoch. Monitoring ML experiments with dedicated tools gives you the comfort of knowing what is going on with your training runs. Especially if you don’t have access to the machine (computational cluster at University, VPN at work, Cloud server you’re using somewhere, or when you’re on a bus :)). Sometimes you can’t even access the model training environment.Īnd that’s where tools come in handy! You can use them to flexibly monitor your ML experiments and look at model training information whenever you need to. When you look at logs you don’t see the change over time immediately (think learning curve vs losses on epoch 10), ![]() You cannot look at your console logs all the time, Monitoring machine learning experiment runs is an important and healthy practice but it can be a challenge. ![]() There are a ton of JupyterLab extensions that you may want to use.Įxtension Manager (little puzzle icon in the command palette) lets you install and disable extensions directly from JupyterLab. If you would like to see how to create your own extension read this guide. Technically JupyterLab extension is a JavaScript package that can add all sorts of interactive features to the JupyterLab interface. JupyterLab extension is simply a plug-and-play add-on that makes more of the things you need possible. “JupyterLab is designed as an extensible environment”. In this article, we’ll talk about JupyterLab extensions that can make your machine learning workflows better. One of the great things about Jupyter ecosystem is that if there is something you are missing, there is either an open-source extension for that or you can create it yourself. Info = self._extract_package(extension, tempdir)įile "/usr/local/anaconda3/lib/python3.5/site-packages/jupyterlab/commands.JupyterLab, a flagship project from Jupyter, is one of the most popular and impactful open-source projects in Data Science. Info = self._install_extension(extension, tempdir)įile "/usr/local/anaconda3/lib/python3.5/site-packages/jupyterlab/commands.py", line 1095, in _install_extension Return handler.install_extension(extension)įile "/usr/local/anaconda3/lib/python3.5/site-packages/jupyterlab/commands.py", line 347, in install_extension Npm ERR! Additional logging details can be found in:įile "/usr/local/anaconda3/lib/python3.5/site-packages/jupyterlab/labextensions.py", line 71, in startįile "/usr/local/anaconda3/lib/python3.5/site-packages/jupyterlab/labextensions.py", line 100, in run_taskįile "/usr/local/anaconda3/lib/python3.5/site-packages/jupyterlab/labextensions.py", line 100, in įile "/usr/local/anaconda3/lib/python3.5/site-packages/jupyterlab/commands.py", line 210, in install_extension If you’re installing the extension from within the JupyterLab terminal, restart the Jupyter server to load the extension. Extensions can add items to the menu or command palette, keyboard shortcuts, or settings in the settings system. They can provide new themes, file viewers and editors, or renderers for rich outputs in notebooks. JupyterLab extensions can customize or enhance any part of JupyterLab. Npm ERR! path jupyterlab/plotly-extension Fundamentally, JupyterLab is designed as an extensible environment. Plotly is a graphing library that makes interactive graphs.It’s also available in Jupyter Notebook, but with the jupyterlab-chart-editor you can even edit Plotly charts through a user-friendly point-and-click interface. Npm ERR! command "/usr/bin/node" "/usr/bin/npm" "pack" ERR! cwd /tmp/tmp0ce5jqp6 Image by author Extension 2: Interactive Graphs with Plotly and Easy Edition with Chart Editor. Npm ERR! including the npm and node versions, at: Npm ERR! If you need help, you may report this *entire* log, ![]() Npm ERR! Error: ENOENT, stat 'jupyterlab/plotly-extension' Npm ERR! addLocal Could not install jupyterlab/plotly-extension Npm ERR! git clone and the repository exists. Npm ERR! git clone ERR! git clone Please make sure you have the correct access rights Npm ERR! git clone fatal: Could not read from remote repository. Npm ERR! git clone Permission denied (publickey). Results in > /usr/bin/npm pack ERR! git clone Cloning into bare repository '/home/ubuntu/.npm/_git-remotes/git-github-com-jupyterlab-plotly-extension-8ab9f472'. I’m trying to install the Plotly jupyterlab extension. ![]()
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