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I was just trying on colab, and still a weird experience on this PR, here is CPU/umap_learn: ! pip install -q graphistry[umap_learn]
! pip install -q git+https://github.com/graphistry/pygraphistry.git@dev/depman #[umap_learn]
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/graphistry/pygraphistry/master/demos/data/honeypot.csv')
df.shape, df.dtypes
import graphistry
graphistry.__version__=> and then the test: graphistry.nodes(df).umap(engine='umap_learn')
1=> |
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had to replace a few dangling is the plan to swap other lazy imports before / after merge? pretty easy, one just need be thorough |
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howdy!
i think it's easier and preferable to land this first. i've been more in this repo recently on multiple gpu systems, so easier for me to test now |
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smart dep_manager without cu_cat stuff