{"repo":"ContextLab/hypertools","free":true,"listed":false,"github":"https://github.com/ContextLab/hypertools","clone":"git clone https://github.com/ContextLab/hypertools.git","description":"A Python toolbox for gaining geometric insights into high-dimensional data","language":"Python","stars":1887,"topics":["data-visualization","high-dimensional-data","python","topic-modeling","text-vectorization","data-wrangling","visualization","time-series"],"license":"MIT","category":"analytics","readme_excerpt":"\" To deal with hyper-planes in a 14 dimensional space, visualize a 3D space and say 'fourteen' very loudly. Everyone does it. \" - Geoff Hinton Overview HyperTools is designed to facilitate dimensionality reduction-based visual explorations of high-dimensional data. The basic pipeline is to feed in a high-dimensional dataset (or a series of high-dimensional datasets) and, in a single function call, reduce the dimensionality of the dataset(s) and create a plot. The package is built atop many familiar friends, including matplotlib, scikit-learn and seaborn. Our package was featured in 2017 on Kaggle's now-retired \"No Free Hunch\" blog (archived copy). For a general overview, you may find this talk useful (given as part of the MIND Summer School at Dartmouth). What's new in 1.0 HyperTools 1.0 modernizes the toolbox while keeping the familiar API: + Interactive plotting (optional): hyp.plot(..., backend='plotly') renders interactive figures. With the default backend='auto' , HyperTools automatically uses plotly on Google Colab and Kaggle (where interactive figures work best and plotly is preinstalled) and matplotlib everywhere else — existing workflows are unchanged. The two backends produce visually matched output: identical colors, line/marker styles and sizes, format strings, and the signature cube/square framing. + Multicolored lines: passing continuous values (or a per-observation matrix) as hue together with a line format colors each trajectory continuously along its length, ","default_branch":null,"files":null,"tree":[],"storefront":"/r/ContextLab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ContextLab/hypertools/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}