ExDimRed
Examples for Dimensionality Reduction
ExDimRed is a simple visualisation tool, aimed and understanding and evaluating dimensionality reduction methods, using human-intuitive examples.
Examples are 3D point data which are reduced via dimensionality reduction methods to 2D.
Usage
Novel methods, or methods not encluded by default, should follow the standard Scikit-Learn syntax, i.e. have the methods
model.fit_transform(X) to fit to and project input data X.
ExDimRed is accessed as follows:
from sklearn.manifold import Isomap
from exdimred import run
run(Isomap)
This will attempt to generate a pdf of the visualisation in the root directory. If pdf generation fails then a png is generated instead.
Requirements
ExDimRed requires Python >= 3.8 and the packages numpy, matplotlib, scikit-learn, and umap-learn to be installed.
1 maintainer
Metadata
1 maintainer
Release files for exdimred 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| exdimred-0.0.3.tar.gz | 17.4 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| exdimred-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.9 kB
Release files / exdimred-0.0.3.tar.gz
| Download URL | exdimred-0.0.3.tar.gz |
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| Size | 17.4 kB |
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Release files / exdimred-0.0.3-py3-none-any.whl
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| Size | 17.4 kB |
| Tags | Python 3 |
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