Add Channel and Install Mlxtend using Conda Install
In this post, you will quickly learn about how to install mlxtend python package while you are working with Anaconda Jupyter Notebook.
Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. This library is created by Dr. Sebastian Raschka, an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on deep learning and machine learning research.
Here is the instruction for installing within your Anaconda.
Fig 1. Add Channel and Install Mlxtend using Conda Install
Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…
As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has…
In today's data-driven business landscape, organizations are constantly seeking ways to harness the power of…
In this blog, you would get to know the essential mathematical topics you need to…
This blog represents a list of questions you can ask when thinking like a product…
AI agents are autonomous systems combining three core components: a reasoning engine (powered by LLM),…
View Comments
This doesn't works for me. The command "conda install mlxtend –channel Conda-forge" failed. Instead, I used "pip install mlxtend". Then I could successfully use the command "from mlxtend.plotting import plot_decision_regions" in the Jupiter Notebook.
Thanks for the comments, Jose.
Same here.... “pip install mlxtend” worked for me. Thanks a bunch
That command didnt work for me.
Run "conda install -c conda-forge mlxtend" and will work.