Remove tensorflow logging

.github/workflows/ci.yaml

@@ -9,7 +9,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: ['windows-latest', 'macOS-latest', 'ubuntu-18.04']
+        os: ['macOS-latest', 'ubuntu-18.04']
         tfp: ['0.11']
         include:
           - os: ubuntu-18.04
@@ -39,6 +39,7 @@ jobs:
           sysreqs=$(Rscript -e "cat(sysreqs::sysreq_commands('DESCRIPTION'))")
           sudo -s eval "$sysreqs"
           sudo apt-get install -y qpdf
+          export TF_CPP_MIN_LOG_LEVEL="3"
       - name: install dependencies
         run: Rscript -e "install.packages('remotes')" -e "remotes::install_deps(dependencies = TRUE)" -e "remotes::install_cran('rcmdcheck')"
       - name: install python
@@ -56,6 +57,7 @@ jobs:
       - name: coverage
         continue-on-error: true
         run: |
-          tar -C .. -xf $PKG_TARBALL- Rscript -e 'covr::codecov()'
+          tar -C .. -xf $PKG_TARBALL
+          Rscript -e 'covr::codecov()'
           Rscript -e 'lintr::lint_package()'
 

DESCRIPTION

@@ -38,5 +38,6 @@ Imports:
     reticulate,
     nloptr,
     keras,
-    purrr
+    purrr,
+    methods
 NeedsCompilation: yes

NAMESPACE

@@ -35,6 +35,7 @@ export(group.lasso)
 export(inverse.gaussian)
 export(poisson)
 import(Rcpp)
+import(methods)
 import(nloptr)
 import(tensorflow)
 import(tfprobability)

R/netReg-package.R

@@ -35,6 +35,7 @@
 #'
 #' @useDynLib netReg, .registration = TRUE
 #'
+#' @import methods
 #' @import tensorflow
 #' @import tfprobability
 #' @importFrom tensorflow tf

R/zzz.R

@@ -21,13 +21,13 @@
 #' @importFrom reticulate py_module_available
 #' @importFrom tensorflow install_tensorflow
 .onLoad <- function(libname, pkgname) {
+  Sys.setenv(TF_CPP_MIN_LOG_LEVEL = 3)
   if (!reticulate::py_module_available("tensorflow")) {
     warning("Could not find tensorflow installation")
   }
   if (!reticulate::py_module_available("tensorflow_probability")) {
     warning("Could not find tensorflow-probability installation")
   }
-  Sys.setenv(TF_CPP_MIN_LOG_LEVEL = 2)
   options(tensorflow.one_based_extract = TRUE)
 }