Convert vignette examples to standalone instructional scripts#129
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Repair the failures in the full R vignette port suite: - 01_overview: replace the thin delegate shim with a full nine-section instructional port of NNSvignette_01_Overview.Rmd, including figures for the partial-moment decomposition, mode estimation, copula surfaces, nonlinear regression, ARMA forecasting, and Monte Carlo replicates. - 04_normalization: pass a list instead of a generator to np.column_stack, which numpy rejects at runtime. - 05_sampling: replace the assertion-style smoke script with a full section-by-section port of NNSvignette_05_Sampling.Rmd with CDF, inverse-CDF, Monte Carlo, and dependence-transfer figures. - 06_comparing_distributions: replace the smoke script with a full port of NNSvignette_06_Comparing_Distributions.Rmd, reconstructing the R ANOVA plot side effects from the returned statistics and adding superiority, dominance, and SD-cluster figures. - 07_clustering_and_regression: restore the file body that was committed truncated after its module docstring, porting every R section including partition orders, X-only partitioning, multivariate regression over the full grid, dimension reduction, stacking, smoothing, and imputation. - 08_classification and _vignette_support: stop rounding non-numeric arrays in the compact result renderer, and display rhs.partitions now that the multivariate result exposes it (correcting the stale gap note). - PARITY.md: update the 07/08 ledger entries to match the ports. - Lint compliance for ruff check across the examples tree, with a scoped E402 ignore for the sys.path bootstrap in instructional scripts, and ignore the generated figure output directory. All nine canonical scripts pass tests/docs/test_vignette_examples.py in fast mode and run clean in full mode; ruff and mypy pass. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014q6V4fJ7zz6KLAgu3ddhDp
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Summary
Transforms the nine canonical NNS vignette examples from thin wrapper scripts into comprehensive, self-contained instructional Python scripts that faithfully reproduce the R vignette curriculum. Each script now includes the complete statistical narrative, demonstrations, and figure generation.
Key Changes
Vignette Scripts (01–09): Converted from single-line imports to full implementations with:
examples/vignettes/output/Support Infrastructure (
examples/_vignette_support.py):show,table,section, etc.)Data Files:
examples/data/iris.csv,mtcars.csv,AirPassengers.csvDocumentation:
PARITY.md: Ledger of R-to-Python vignette correspondence and known API gapsREADME.mdandmanifest.ymlto reflect new structuresitecustomize.py: Enables vignettes to import shared support directlyTesting:
test_vignette_examples.pyto run canonical scripts with fast-mode supporttest_canonical_vignette_manifest.pyto verify data file presenceConfiguration:
.gitignoreto exclude generated output directorypyproject.tomlto allow vignette scripts to modifysys.pathImplementation Details
rgl3D plots with static equivalentshttps://claude.ai/code/session_014q6V4fJ7zz6KLAgu3ddhDp