# find_ab_params

### cuml.manifold.umap.find_ab_params(spread=1.0, min_dist=0.1)[[source]](https://github.com/NVIDIA/cuml/blob/93418baf5/python/cuml/cuml/manifold/umap/umap.pyx#L63)

Fit a & b parameters for UMAP.

Selects `a` and `b` for the differentiable curve used in lower
dimensional fuzzy simplicial complex construction. We want the
smooth curve (from a pre-defined family with simple gradient) that
best matches an offset exponential decay.

Borrowed from upstream umap: [https://github.com/lmcinnes/umap](https://github.com/lmcinnes/umap).

* **Parameters:**
  **spread: float (optional, default 1.0)**
  : The effective scale of embedded points.

  **min_dist: float (optional, default 0.1)**
  : The effective minimum distance between embedded points.
* **Returns:**
  **a, b**
  : The `a` and `b` parameters for `UMAP`.

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