AlphaSigmoidSteepness
Storage Map v273 → v411 · 1 shape changeSteepness 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
Migration Notes
v277 v290 Breaking
value type changed from u16 to i16
Update decoders: SCALE encoding is positional, so any signature change (added, removed, or type-changed fields, or storage shape changes) shifts byte offsets and existing decoders will misparse this item. Re-derive types from the new metadata.
Query Keys
| # | Name | Type | Description |
|---|---|---|---|
| 1 | netuid | u16 | netuid (u16, hashed key component) |
Stored Value
AlphaSigmoidSteepness (i16)
Code Examples
import { createClient, Binary } from "polkadot-api";
import { getWsProvider } from "polkadot-api/ws";
import { sub } from "@polkadot-api/descriptors"; // generated by: npx papi add sub -w wss://entrypoint-finney.opentensor.ai:443
const client = createClient(getWsProvider("wss://entrypoint-finney.opentensor.ai:443"));
const api = client.getTypedApi(sub);
// Query AlphaSigmoidSteepness storage
const netuid = 1;
const result = await api.query.SubtensorModule.AlphaSigmoidSteepness.getValue(netuid);
console.log("AlphaSigmoidSteepness:", result);Version History
v273 block 5,659,032 Added
v278–v289 · runtime versions skipped on chain (never deployed)
v290 block 5,947,548 Shape changed Current
- value :
u16→i16
Runtime Info
View Source- Pallet
- SubtensorModule
- Storage Kind
- Map
- First Version
- v273
- Current Version
- v411