# check_tf_version works We have detected that you do not have the expected python packages setup. You can set these up by running this R code in the console: `install_greta_deps()` Then, restart R and run: `library(greta)` (Note: Your R session should not have initialised Tensorflow yet.) For more information, see `?install_greta_deps` --- We have detected that you do not have the expected python packages setup. You can set these up by running this R code in the console: `install_greta_deps()` Then, restart R and run: `library(greta)` (Note: Your R session should not have initialised Tensorflow yet.) For more information, see `?install_greta_deps` --- Code check_tf_version("message") Message We have detected that you do not have the expected python packages setup. You can set these up by running this R code in the console: `install_greta_deps()` Then, restart R and run: `library(greta)` (Note: Your R session should not have initialised Tensorflow yet.) For more information, see `?install_greta_deps` # define and mcmc error informatively none of the s in the model are associated with a probability density, so a model cannot be defined --- none of the s in the model are associated with a probability density, so a model cannot be defined --- could not find any non-data s --- model contains a discrete random variable that doesn't have a fixed value, so inference cannot be carried out --- none of the s in the model are unknown, so a model cannot be defined --- data s cannot be sampled `x` is a data (s) # check_dims errors informatively incompatible dimensions: 3x3, 2x2 # disjoint graphs are checked the model contains 2 disjoint graphs one or more of these sub-graphs does not contain any s that are associated with a probability density, so a model cannot be defined --- the model contains 2 disjoint graphs one or more of these sub-graphs does not contain any s that are unknown, so a model cannot be defined # cleanly() handles TF errors nicely greta hit a tensorflow error: Error in other_stop(): Fetchez la vache!