What is Igel?
It is a delightful machine learning tool that allows to train, test and use models without writing code.
Igel is a tool in the Machine Learning Tools category of a tech stack.
Igel is an open source tool with GitHub stars and GitHub forks. Here’s a link to Igel's open source repository on GitHub
- Supports all state of the art machine learning models (even preview models)
- Supports different data preprocessing methods
- Provides flexibility and data control while writing configurations
- Supports cross validation
- Supports both hyperparameter search (version >= 0.2.8)
- Supports yaml and json format
- Supports different sklearn metrics for regression, classification and clustering
- Supports multi-output/multi-target regression and classification
- Supports multi-processing for parallel model construction
Igel Alternatives & Comparisons
What are some alternatives to Igel?
See all alternatives
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