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SkillsMP ha recopilado 10 skills de databrickslabs/impulse. Abre una skill para revisar su origen y sus detalles.
Mostrando 10 de 10 skills recopiladas.
Compute calculated (derived) channels in Impulse — new time-series signals built from existing channels and materialized at the same per-sample grain. Use when the user wants to "add a calculated channel", derive/persist a signal (e.g. "speed in km/h", "power…
Idioma del texto original: inglés
Write the Impulse report configuration (`ImpulseConfig`) — the JSON/dict that points Impulse at its silver input tables, the gold output location, and tunes the solver. Use when the user asks to "configure an Impulse report", set the source/sink tables,…
Idioma del texto original: inglés
Understand and prepare the data Impulse reads and writes. Use when the user asks "what tables does Impulse need", how to land / ingest measurement data into the silver layer, what the gold-layer output looks like, how fact and dimension tables join, or how to…
Idioma del texto original: inglés
Build and run an Impulse reporting pipeline that persists events and aggregations to the gold-layer star schema. Use when the user wants to "build an Impulse report", compute histograms/statistics across all recordings and write them to Delta tables for a…
Idioma del texto original: inglés
Compute results over channels in Impulse, optionally scoped to an event. Use when the user wants a "histogram" or "2D histogram / heatmap" of a signal, duration- or distance-weighted binning, per-event descriptive statistics (min/max/mean/median), or channel…
Idioma del texto original: inglés
Run ad-hoc Impulse analysis in a notebook — evaluate TSAL expressions directly through the query engine and get a Spark or pandas DataFrame back, with no gold-layer write and no reporting setup. Use when the user wants to "explore signals interactively", "get…
Idioma del texto original: inglés
Entry point for the Impulse framework — the Databricks Labs library for analyzing large-scale time-series measurement data (automotive testing, industrial IoT sensor recordings) on Spark and Delta. Use when the user mentions "Impulse", "TSAL",…
Idioma del texto original: inglés
Write TSAL (Time Series Analytics Language) expressions in Impulse — select measurement channels by metadata tags, derive virtual signals with arithmetic, express conditions as time windows, detect edges, resample, integrate, and build histograms. Use when…
Idioma del texto original: inglés
Define event windows in Impulse — the time spans that scope aggregations. Use when the user wants to "define an event", segment recordings into intervals (e.g. "engine RPM between 2000 and 5000"), aggregate over the whole recording, capture state…
Idioma del texto original: inglés
Turn Impulse measurement recordings into a machine-learning feature matrix. Use when the user wants to "make ML features from measurement data", "train a model on containers/recordings", build a per-drive / per-recording feature vector from sensor statistics,…
Idioma del texto original: inglés