feat(rmi): add BQML time-series queries (ds8, ds9, ds10) to rmi-sql - #91
Open
n0531m wants to merge 1 commit into
Open
feat(rmi): add BQML time-series queries (ds8, ds9, ds10) to rmi-sql#91n0531m wants to merge 1 commit into
n0531m wants to merge 1 commit into
Conversation
n0531m
force-pushed
the
feat/sync-rmi-skills-sep2026
branch
from
September 1, 2026 18:41
935da58 to
0a17af0
Compare
n0531m
force-pushed
the
feat/sync-rmi-skills-sep2026
branch
from
September 2, 2026 01:20
0a17af0 to
ccb363e
Compare
n0531m
changed the title
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
This PR updates the Roads Management Insights (RMI)
rmi-sqlskill with advanced BigQuery ML time-series analytical queries:ds8_change_point_detection.sql: Implemented multi-corridor structural shift and regime break detection using BigQuery ML's nativeML.DETECT_CHANGE_POINTS.ds9_corridor_trend_decomposition.sql: Implemented secular trend extraction and 7-day forward projection using BigQuery ML'sML.TREND.ds10_corridor_seasonality_decomposition.sql: Implemented diurnal (hour-of-day) and day-of-week additive cyclic decomposition using BigQuery ML'sML.SEASONALITY.Data_Scientist_Samples.ipynb(now 10 queries, 39 queries monorepo-wide) and updatedcatalog.md,README.md, andSKILL.mddocumentation.Verification