AlphaSigmoidSteepness

Storage Re-added Map v273 → v277, v290 → current

Steepness parameter for the alpha sigmoid function per subnet .

Explore chain
Queried 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

#NameTypeDescription
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