make diff of time series to compare test productions+AliasDataFrame#2014
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miranov25 wants to merge 69 commits intoAliceO2Group:masterAliceO2Group/O2DPG:masterfrom
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make diff of time series to compare test productions+AliasDataFrame#2014miranov25 wants to merge 69 commits intoAliceO2Group:masterAliceO2Group/O2DPG:masterfrom
miranov25 wants to merge 69 commits intoAliceO2Group:masterAliceO2Group/O2DPG:masterfrom
Commits
Commits on May 4, 2025
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miranov25
Commits on May 29, 2025
`AliasDataFrame` is a small utility that extends `pandas.DataFrame` functionality by enabling:
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Commits on May 31, 2025
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Commits on Jun 1, 2025
Add dtype support and alias dependency graph to AliasDataFrame
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miranov25Add support for dtype persistence and alias filtering in save/load
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Commits on Jun 2, 2025
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Commits on Jun 3, 2025
`Add ROOT SetAlias export and Python-to-ROOT AST translation for aliases`
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Commits on Jun 4, 2025
Add dependency-aware alias materialization with optional cleanup and verbosity
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Commits on Jun 9, 2025
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miranov25 Add extended unit tests for AliasDataFrame including lazy join and error handling
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Commits on Jun 10, 2025
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Commits on Jun 11, 2025
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miranov25 AliasDataFrame: add index-based subframe join and robust error handling
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Commits on Jun 12, 2025
AliasDataFrame: Add __getattr__ support for subframes + docstring/type hint improvements
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miranov25AliasDataFrame: Add support for __getattr__ access to subframes and chained aliases
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miranov25Refactor GroupByRegressor with robust fit logic, dtype casting, and unified min_stat
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miranov25Fix: ensure regression outputs are preserved for underpopulated groups
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miranov25Fix NaN handling in robust regression and enable predictor-specific min_stat threshold
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miranov25Add NaN filtering and robust fit fallback logic to GroupByRegressor
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miranov25Add flexible regression model selection via `fitter` parameter
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Commits on Jun 13, 2025
* removing pylint warning
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Commits on Jun 23, 2025
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Commits on Jun 25, 2025
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Commits on Jun 27, 2025
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Commits on Aug 14, 2025
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Commits on Oct 11, 2025
docs(quantile_fit_nd): add v3.1 Δq-centered ND quantile fitting spec
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miranov25 feat(DataFrameUtils): Enhance docstrings and error handling for scatter plots
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miranov25feat(dfextensions): add ND quantile fitting (Δq-centered) + tests & bench
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miranov25test(dfextensions): fix quantile ND tests vs synthetic truth; add robust edge expectations
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miranov25fix(quantile_fit_nd): exclude q_center from nuisance axes; silence single-groupby warning
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miranov25fix(dfextensions/quantile_fit_nd): evaluator axis bug + window-local b_min + stable inversion
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miranov25tests(quantile_fit_nd): snapshot pre-fix state with rich diagnostics (exclude IDE files)
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miranov25fix(quantile_fit_nd): do not floor degenerate Δq windows; keep NaN and record reason
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miranov25tests(quantile_fit_nd): handle Poisson via randomized PIT pre-processing
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miranov25docs(quantile_fit_nd): add Discrete Inputs policy and utilities
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miranov25bench(quantile_fit_nd): correct scaling assertions — α_b≈−0.5, α_rt≈0.0
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miranov25docs(quantile_fit_nd): add contextLLM.md (cold-start guide + policies)
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miranov25docs(quantile_fit_nd): add contextLLM.md (cold-start guide + policies)
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Commits on Oct 22, 2025
feat(bench): add single-file GroupBy regression benchmark + reports
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miranov25docs(groupby_regression): add Performance & Benchmarking section + fix Markdown tables
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miranov25docs(bench): set default to 5k groups; document 30% outlier scenario
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miranov25docs(restartContext): update with 5k/5 default, 30% outliers, and leverage-outlier plan
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miranov25feat(groupby_regression): add optional per-group diagnostics (diag, diag_prefix)
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miranov25
Commits on Oct 23, 2025
feat(bench): integrate class-level diagnostics summary into benchmark report
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miranov25docs(restartContext): record diagnostics integration and real-data validation
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miranov25docs(restartContext): record diagnostics integration and real-data validation
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