lstm-forecaster
CommunityForecast time series with LSTM/GRU memory.
AuthorSPIRAL-EDWIN
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables accurate forecasting of time series data by leveraging LSTM and GRU networks to model long-range dependencies and nonlinear patterns.
Core Features & Use Cases
- Long-sequence forecasting: Handles time series with many steps and complex dynamics.
- Multivariate support: Works with multiple input features to produce future values.
- Baseline experimentation: Allows comparing LSTM vs GRU variants and evaluating performance on held-out data.
Quick Start
Use the lstm-forecaster to train on your time-series data and generate a 50-step forecast.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lstm-forecaster Download link: https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000/archive/main.zip#lstm-forecaster Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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