Automated Machine Learning (AutoML) subnet by Hivetrain. Miners run distributed hyperparameter optimization and neural architecture search tasks, providing a decentralized platform for ML engineering automation. Targets researchers and organizations needing scalable model tuning.
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Validators & miners on this subnet
Automated Machine Learning (AutoML) subnet by Hivetrain. Miners run distributed hyperparameter optimization and neural architecture search tasks, providing a decentralized platform for ML engineering automation. Targets researchers and organizations needing scalable model tuning.
Check emissions efficiency, liquidity depth, and subnet age before treating the yield at face value.
Look for consistency between the operator story and the live on-chain metrics.
Use this subnet as part of a category comparison rather than in isolation.
Liquidity depth: 7,200 τ
Emissions: 4.7 τ/day
Age: 280 days live
Risk band: SPECULATIVE
Use Tyvera metrics and external explorers for operator validation
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Subnet data is sourced from on-chain records and is not financial advice. Yields change continuously based on emission schedules and staker activity.