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psyb0t/docker-predictalot

Self-hosted forecasting + prediction service. Five zero-shot time-series foundation models (Chronos-2, TimesFM 2.5, Moirai-2, Toto-1, Sundial) across six forecast types, plus nine supervised tabular ML backends (LightGBM, XGBoost, sklearn family) with calibrated / stacking / diversified meta-learners. Unified REST API + MCP server.

This repository also configures its own agents. See what docker-predictalot tells them →

Open on GitHub ciprian.51k.eu

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predictalot

psyb0t/docker-predictalot

Plugin Claude Code

Bundles 1 skill · 262 tokens together

Self-hosted forecasting service — zero-shot time-series forecasting (chronos-2, timesfm-2.5, moirai-2, toto-1, sundial-base-128m) across univariate, multivariate, covariate, and sample-path types, plus supervised tabular ML (9 backends, 3 meta-learners) with train+persist and weighted ensembles. Unified REST + MCP…

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