Hey folks!
I’m reworking the print method of greta MCMC draws, and I was curious to get feedback from greta users.
Here’s the proposed print method:
library(greta)
#>
#> Attaching package: 'greta'
#> The following objects are masked from 'package:stats':
#>
#> binomial, cov2cor, poisson
#> The following objects are masked from 'package:base':
#>
#> %*%, apply, backsolve, beta, chol2inv, colMeans, colSums, diag,
#> eigen, forwardsolve, gamma, identity, rowMeans, rowSums, sweep,
#> tapply
samples <- 10
warmup <- 10
z <- normal(0, 1)
#> ℹ Initialising python and checking dependencies, this may take a moment.
#> ✔ Initialising python and checking dependencies ... done!
#>
m <- model(z)
tensorflow::set_random_seed(2024-07-29-1217)
draws <- mcmc(m, warmup = warmup, n_samples = samples, verbose = FALSE)
draws
#>
#> ── MCMC draws from greta ───────────────────────────────────────────────────────
#> • Iteration = 10
#> • Chains = 4
#> • Thinning = 1
#>
#> ── Chain 1 (iterations 1 - 5) ──────────────────────────────────────────────────
#> z
#> [1,] -0.8389218
#> [2,] -0.9709355
#> [3,] -0.7044544
#> [4,] -1.0884219
#> [5,] -1.1741769
#> ℹ 5 more draws
#> Use `print(n = ...)` to see more draws
#> ────────────────────────────────────────────────────────────────────────────────
#> ℹ View greta draw chain i with:
#> `greta_draws_object[[i]]`.
#> E.g.,:
#> `greta_draws_object[[1]] to view chain 1`.
#> ℹ To see a summary of draws, run:
#> `summary(greta_draws_object)`
Created on 2024-07-29 with reprex v2.1.0
Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.4.0 (2024-04-24)
#> os macOS Sonoma 14.5
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz Australia/Hobart
#> date 2024-07-29
#> pandoc 3.2.1 @ /opt/homebrew/bin/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> abind 1.4-5 2016-07-21 [1] CRAN (R 4.4.0)
#> backports 1.5.0 2024-05-23 [1] CRAN (R 4.4.0)
#> base64enc 0.1-3 2015-07-28 [1] CRAN (R 4.4.0)
#> callr 3.7.6 2024-03-25 [1] CRAN (R 4.4.0)
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#> future 1.33.2 2024-03-26 [1] CRAN (R 4.4.0)
#> globals 0.16.3 2024-03-08 [1] CRAN (R 4.4.0)
#> glue 1.7.0 2024-01-09 [1] CRAN (R 4.4.0)
#> greta * 0.4.5.9000 2024-07-29 [1] local
#> hms 1.1.3 2023-03-21 [1] CRAN (R 4.4.0)
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#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)
#> Matrix 1.7-0 2024-03-22 [2] CRAN (R 4.4.0)
#> parallelly 1.37.1 2024-02-29 [1] CRAN (R 4.4.0)
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#> R.oo 1.26.0 2024-01-24 [1] CRAN (R 4.4.0)
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#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)
#> Rcpp 1.0.12 2024-01-09 [1] CRAN (R 4.4.0)
#> reprex 2.1.0 2024-01-11 [1] CRAN (R 4.4.0)
#> reticulate 1.36.1 2024-04-22 [1] CRAN (R 4.4.0)
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#> xfun 0.45 2024-06-16 [1] CRAN (R 4.4.0)
#> yaml 2.3.9 2024-07-05 [1] CRAN (R 4.4.0)
#>
#> [1] /Users/nick/Library/R/arm64/4.4/library
#> [2] /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library
#>
#> ─ Python configuration ───────────────────────────────────────────────────────
#> python: /Users/nick/Library/r-miniconda-arm64/envs/greta-env-tf2/bin/python
#> libpython: /Users/nick/Library/r-miniconda-arm64/envs/greta-env-tf2/lib/libpython3.11.dylib
#> pythonhome: /Users/nick/Library/r-miniconda-arm64/envs/greta-env-tf2:/Users/nick/Library/r-miniconda-arm64/envs/greta-env-tf2
#> version: 3.11.9 | packaged by conda-forge | (main, Apr 19 2024, 18:34:54) [Clang 16.0.6 ]
#> numpy: /Users/nick/Library/r-miniconda-arm64/envs/greta-env-tf2/lib/python3.11/site-packages/numpy
#> numpy_version: 1.26.4
#> tensorflow: /Users/nick/Library/r-miniconda-arm64/envs/greta-env-tf2/lib/python3.11/site-packages/tensorflow
#>
#> NOTE: Python version was forced by use_python() function
#>
#> ──────────────────────────────────────────────────────────────────────────────
See https://github.com/greta-dev/greta/pull/644 if you want to comment on the pull request thread directly.