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Multivariate time series forecasting with Kumo-Forecast v1.0.0
Use this resource to forecast multivariate time series with Kumo-Forecast
New
- 469 downloads
- 190 likes
- 175 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install kumo-forecast-multivariate-predictionWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent runs standard forecasting or the DARR nearest-neighbor retrieval mode, and can produce an interpretability analysis with a PDF report. It can also fine-tune the forecasting head on your data.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: inference, DARR mode, interpretability and fine-tuning
- references/automl.md: automatic hyperparameter search
- schemas/train.schema.json: training schema
Good fit for
- You want to forecast a sales or measurement series from several variables
- You want to understand which lags drive the forecast
Not for
Tags
- kumo-forecast
- forecasting
- time series
- darr
About
You say
“Forecast my multivariate series with DARR mode and explain which lags matter.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to forecast multivariate time series with Kumo-Forecast
- Review and adjust the result
Content preview
Files
- BENCHMARK.md7.3 KB
- config/skillspector-baseline.yaml0.8 KB
- evals/evals.json1.2 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/automl.md15 KB
- references/skill_info.yaml1.5 KB
- references/spec_template_inference_hpo.yaml1.4 KB
- references/spec_template_train.yaml0.7 KB
- schemas/inference_hpo.schema.json6.2 KB
- schemas/train.schema.json10.6 KB
- skill-card.md4.8 KB
- SKILL.md13.8 KB
- skill.oms.sig6.2 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-finetune-kumo-forecast
- Licence
- Apache-2.0
Notice
« tao-finetune-kumo-forecast » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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