Signature Rough Path Feature Engine
Transform multivariate, irregularly-sampled time series into path-signature features (from rough-path theory) that capture order and interaction of events as a universal, model-free feature set for ML on streams, order flow, and sensor data.
Example
A verified input and output example will appear after editorial review. This preview does not include the full skill instructions.
Sample under review
Installation steps
- Purchase through a verified payment method.
- Follow the guide for your agent.
- Confirm the skill is installed before use.
License and limitations
Use rights depend on the purchase option. A $1 unlock does not supply a downloadable file; the $19.99 license covers one purchased version; All Access applies while subscribed.
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