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Rephrase bullet point
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Scienfitz committed Jan 20, 2025
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Expand Up @@ -38,7 +38,7 @@ The following provides a non-comprehensive overview:
- πŸ› οΈ Custom parameter encodings: Improve your campaign with domain knowledge
- πŸ§ͺ Built-in chemical encodings: Improve your campaign with chemical knowledge
- 🎯 Single and multiple targets with min, max and match objectives
- πŸ” Built-in analysis tools: Gain insights into feature importance and model behavior
- πŸ” Insights: Easily analyze feature importance and model behavior
- 🎭 Hybrid (mixed continuous and discrete) spaces
- πŸš€ Transfer learning: Mix data from multiple campaigns and accelerate optimization
- 🎰 Bandit models: Efficiently find the best among many options in noisy environments (e.g. A/B Testing)
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