Queried by: validatorsminerssubnet ownersdevelopersanalytics
The Big Picture
Rho influences how consensus scores translate to emissions. It's part of the mathematical model that turns weights into rewards. Understanding rho helps predict how rank changes affect actual TAO earnings.
Why This Matters
How do scores become emissions? Rho is part of that math. Combined with other parameters, it determines the reward distribution curve.
Example Scenario
Query Rho(netuid=1) returns the emission parameter. Used in consensus calculations to determine how incentive and dividend scores are computed.
Common Questions
- How does rho affect my earnings?
- Indirectly - it shapes the emission curve. Higher rho might favor top performers more, or distribute more evenly, depending on the formula.
Use Cases
- Understand emission distribution dynamics
- Model expected rewards under different scenarios
- Research Yuma Consensus parameters
- Design subnet incentive structures
- Debug emission distribution issues
Purpose & Usage
Purpose
Tune emission distribution - controls how incentive/dividends are calculated.
Common Query Patterns
- Query by netuid
- Research emission mechanics
- Model reward distributions
Query Keys
| # | Name | Type | Description |
|---|---|---|---|
| 1 | key1 | u16 | key1 (u16) |
Stored Value
value (u16)
Relationships
Modified By
Related Events
Code Examples
import { ApiPromise, WsProvider } from "@polkadot/api";
import { stringCamelCase } from "@polkadot/util";
const provider = new WsProvider("wss://entrypoint-finney.opentensor.ai:443");
const api = await ApiPromise.create({ provider });
// Query Rho storage
const key1 = 0;
const result = await api.query
[stringCamelCase("SubtensorModule")]
[stringCamelCase("Rho")](
key1
);
console.log("Rho:", result.toHuman());Runtime Info
View Source- Pallet
- SubtensorModule
- Storage Kind
- Map
- First Version
- v101
- Current Version
- v393