Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternativesHow do H2O AutoML and NALP compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | H2O AutoML | NALP |
|---|---|---|
| What it is | H2O AutoML automatically generates features and selections, with a no code AutoML offering. | NALP covers Natural Adversarial Language Processing through a dedicated library. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both H2O AutoML and NALP.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.
neuropredict evaluates predictive performance using neuroimaging features.
The Featuretools Python library supports automated feature engineering and is published as open source.
nilearn provides Python tools for machine learning and neuroimaging analysis.
tsfresh automatically extracts relevant features from time series data.