Use Tensorflow 2.0 #534
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Use Tensorflow 2.0 #534
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…reak too many things?
…e values they are calculated using the same RNG seeds
… and replace v1$placeholder with tensorflow::as_tensor(1:, shape = shape, dtype = tf_float())
…ectors$Ascending()`
This was referenced Oct 5, 2022
This was referenced Oct 5, 2022
…t-583-4-5 TF2 change cholesky target
- Iteration --> Iteration**s**
…turns greta mcmc list
Greta mcmc print 333
… rows to print exceeds/matches/is less than the max print
Mcmc print neg 654
… to do this that is more elegant but this will work for the time being
Greta array print 480
- replace `vapply(x, length, 1L)` with `lengths` - replace `vapply(x, inherits, "greta_array", TRUE)` with `vapply(x, is.greta_array, TRUE)`
- updated NEWS.md - rename `get_unique_name()` to `create_unique_name()` as this better describes what it does - creation, not extraction. - `extract_unique_names(x)` wraps `vapply(x, member, "unique_name", character(1))` - `are_identical(x, y)` wraps `vapply(x, identical, y, logical(1))` - `are_null(x)` wraps `vapply(x, is.null, logical(1))` (needs to be exported to work with future in MCMC - `are_greta_array(x)` replaces `vapply(x, is.greta_array, logical(1))` - `have_distribution(x)` replaces `vapply(x, has_distribution, logical(1))`
Vapply refactor 377
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Resolves #660 |
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