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MNT Removes unused optim_batch_size from UMAP's docstring #4732

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May 13, 2022
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MNT Removes unused optim_batch_size from UMAP's docstring #4732

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6 changes: 0 additions & 6 deletions python/cuml/manifold/umap.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,6 @@ cdef extern from "cuml/manifold/umapparams.h" namespace "ML":
float target_weight,
uint64_t random_state,
bool deterministic,
int optim_batch_size,
GraphBasedDimRedCallback * callback


Expand Down Expand Up @@ -270,11 +269,6 @@ class UMAP(Base,
consistency of trained embeddings, allowing for reproducible results
to 3 digits of precision, but will do so at the expense of potentially
slower training and increased memory usage.
optim_batch_size: int (optional, default 100000 / n_components)
Used to maintain the consistency of embeddings for large datasets.
The optimization step will be processed with at most optim_batch_size
edges at once preventing inconsistencies. A lower batch size will yield
more consistently repeatable embeddings at the cost of speed.
callback: An instance of GraphBasedDimRedCallback class
Used to intercept the internal state of embeddings while they are being
trained. Example of callback usage:
Expand Down