UMAP-Learn

Load these references when detailed parameter information or advanced method usage is needed.

Scientific View Source →

LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

Evaluation error: RetryError[]

Overall Rating

3.0 /5

Evaluation failed

Prompt Preview

---
name: umap-learn
description: UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
license: BSD-3-Clause license
metadata:
    skill-author: K-Dense Inc.
---

# UMAP-Learn

## Overview

UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique for visualization and general non-linear dimensionality reduction. Apply this skill for fa...

Full prompt length: 15394 characters

Tools & Technologies

• python