MCP For Claude Marketplace
Sigmoid & Softmax Calculator

Sigmoid & Softmax Calculator MCP Connector for Claude

A+

Convert raw neural network logits into flawless, numerically stable probability distributions instantly.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Deriving probabilities from the raw output layers of neural networks requires precise exponential calculations that language models frequently botch. This specialized calculator provides uncompromised mathematical stability for both multi-class and binary classifications. By applying advanced numerical safeguards—such as max-logit subtraction to prevent overflow—it flawlessly executes Softmax and Sigmoid functions. Your agents can now score, rank, and evaluate model confidence with absolute precision.

neural-networksmachine-learningactivation-functionsmathematical-computationprobability

1 tools expose this connector's capabilities to your AI agent.

calculate_activation

Converts raw neural network logits into probabilities using Sigmoid or Softmax

See how to talk to your AI agent using Sigmoid & Softmax Calculator.

My model generated these 5 raw logits: [2.1, -1.5, 5.8, 0.2, 1.1]. Calculate the precise Softmax distribution to identify the dominant class.

The computation has been executed with mathematical precision. All results are exact and ready for review.

Input these 10 distinct logit scores from our binary fraud detector through the Sigmoid function to extract exact, uncorrupted probabilities.

The computation has been executed with mathematical precision. All results are exact and ready for review.

These massive logits [120, 450, 448] risk crashing the runtime. Safely compute the Softmax array to prove that class 2 definitively overrides class 3.

The computation has been executed with mathematical precision. All results are exact and ready for review.

Softmax involves exponential division. Relying on an LLM for these complex floats guarantees severe hallucination and ruined accuracy scores.

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