AlphaSigmoidSteepness
Storage Re-added Map v273 → v277, v290 → currentSteepness parameter for the alpha sigmoid function per subnet .
Explore chainQueried by: subnet ownersvalidatorsanalytics
The Big Picture
Alpha calculations use a sigmoid function. This steepness parameter controls how quickly the curve transitions. Higher steepness = sharper transition. Affects how alpha values are computed for consensus.
Use Cases
- Understand subnet alpha dynamics
- Compare alpha curves across subnets
- Research consensus mechanics
From Chain Metadata
MAP ( netuid ) --> AlphaSigmoidSteepness
Purpose & Usage
Purpose
Controls the shape of the alpha calculation curve.
Common Query Patterns
- Query by netuid
Query Keys
| # | Name | Type | Description |
|---|---|---|---|
| 1 | key1 | u16 | key1 (u16) |
Stored Value
value (i16)
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 AlphaSigmoidSteepness storage
const key1 = 0;
const result = await api.query
[stringCamelCase("SubtensorModule")]
[stringCamelCase("AlphaSigmoidSteepness")](
key1
);
console.log("AlphaSigmoidSteepness:", result.toHuman());Version History
v273 block 5,659,032 Added
v290 block 5,947,548 Re-added Current
Runtime Info
View Source- Pallet
- SubtensorModule
- Storage Kind
- Map
- First Version
- v273
- Current Version
- v393