Spearmint
axe-testcafe
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| Spearmint | axe-testcafe | |
|---|---|---|
| 2 | 1 | |
| 1,529 | 36 | |
| 0.1% | - | |
| 0.0 | 0.0 | |
| over 4 years ago | almost 4 years ago | |
| Python | JavaScript | |
| GNU General Public License v3.0 or later | - |
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Spearmint
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Why do tree-based models still outperform deep learning on tabular data?
It occurs to me that a system, trained on peer-reviewed applied-machine-learning literature and Kaggle winners, that generates candidates for structured feature-engineering specifications, based on plaintext descriptions of columns' real-world meaning, should be considered a requisite part of the "meta" here.
Ah, and then you could iterate within the resulting feature-engineering-suggestion space as a hyper-parameter between experiments, which could be optimized with e.g. https://github.com/HIPS/Spearmint . The papers write themselves!
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[D] What kind of Hyperparameter Optimisation do you use?
This was some time ago but I had some promising results with Bayesian optimization using a Gaussian Process prior. The method was developed by the guys who wrote Spearmint. That library doesn't support parallelization but I implemented the same technique in Scala without too much difficulty.
axe-testcafe
What are some alternatives?
optuna - A hyperparameter optimization framework
Spearmint - Testing, simplified. || An inclusive, accessibility-first GUI for generating clean, semantic Javascript tests in only a few clicks of a button.
srbench - A living benchmark framework for symbolic regression
axe-core-npm
yggdrasil-decision-forests - A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
TestCafe - A Node.js tool to automate end-to-end web testing.
youtube-react - A Youtube clone built in React, Redux, Redux-saga
axe-core-maven-html - Tools for using axe for web accessibility testing with JUnit, Selenium, and Playwright
decision-forests - A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Cypress - Fast, easy and reliable testing for anything that runs in a browser.
spaceopt - Hyperparameter optimization via gradient boosting regression
cypress-mailosaur - Mailosaur email and SMS testing commands for Cypress