Aerosolve vs. Spearmint
A side-by-side comparison based on G2 review data.
| Metric | Aerosolve | Spearmint |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 18 | 14 |
| Ease of use | 8.7 | 9.5 |
| Ease of setup | 9.3 | 9.6 |
| Quality of support | 8.9 | 9.0 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 64.705882 | 78.571429 |
| Small Business | 66.7% | 28.6% |
| Mid-Market | 27.8% | 50.0% |
| Enterprise | 5.6% | 21.4% |
| Total page views | 40 | 17 |
| Total LLM citations | 6 | 13 |
Aerosolve
Aerosolve is a machine learning package built for humans its library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples.
Spearmint
Spearmint is a software package to perform Bayesian optimization that automatically run experiments (thus the code name spearmint) in a manner that iteratively adjusts a number of parameters so as to minimize some objective in as few runs as possible.