Dimension reduction algorithms for the MLExchange platform.
To get started, you will need:
First, build the dimension reduction image in terminal:
cd mlex_dimension_reduction
make build_docker
Once built, you can run the following examples:
make PCA_example
which is equivalend to first make run_docker then python pca_run.py data/example_shapes/Demoshapes.npz data/output '{"n_components": 2}'.
These examples utilize the information stored in the folder /data. The computed latent vectors will be saved in data/output.
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