fix tune_r_bring_your_own.ipynb (aws#3562)

hchings · Aug 18, 2022 · 76bce50 · 76bce50
1 parent dd53fe1
commit 76bce50
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diff --git a/hyperparameter_tuning/r_bring_your_own/Dockerfile b/hyperparameter_tuning/r_bring_your_own/Dockerfile
@@ -8,7 +8,31 @@ RUN apt-get -y update && apt-get install -y --no-install-recommends \
     r-base-dev \
     ca-certificates
 
-RUN R -e "install.packages(c('mda', 'plumber'), repos='https://cloud.r-project.org')"
+RUN R -e "install.packages(c('Rcpp', 'BH', 'R6', 'jsonlite', 'crayon'), repos='https://cloud.r-project.org')"
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/stringi/stringi_1.2.4.tar.gz
+RUN R CMD INSTALL stringi_1.2.4.tar.gz
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/rlang/rlang_0.2.2.tar.gz
+RUN R CMD INSTALL rlang_0.2.2.tar.gz
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/magrittr/magrittr_1.5.tar.gz
+RUN R CMD INSTALL magrittr_1.5.tar.gz
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/later/later_0.7.5.tar.gz
+RUN R CMD INSTALL later_0.7.5.tar.gz
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/promises/promises_1.0.1.tar.gz
+RUN R CMD INSTALL promises_1.0.1.tar.gz
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/httpuv/httpuv_1.4.4.2.tar.gz
+RUN R CMD INSTALL httpuv_1.4.4.2.tar.gz	
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/mda/mda_0.4-10.tar.gz
+RUN R CMD INSTALL mda_0.4-10.tar.gz
+
+RUN wget http://cran.r-project.org/src/contrib/Archive/plumber/plumber_0.4.6.tar.gz
+RUN R CMD INSTALL plumber_0.4.6.tar.gz
 
 COPY mars.R /opt/ml/mars.R
 COPY plumber.R /opt/ml/plumber.R

diff --git a/hyperparameter_tuning/r_bring_your_own/tune_r_bring_your_own.ipynb b/hyperparameter_tuning/r_bring_your_own/tune_r_bring_your_own.ipynb
@@ -225,7 +225,7 @@
     ")\n",
     "\n",
     "estimator = sagemaker.estimator.Estimator(\n",
-    "    image_name=\"{}.dkr.ecr.{}.{}/rmars:latest\".format(account, region, domain),\n",
+    "    image_uri=\"{}.dkr.ecr.{}.{}/rmars:latest\".format(account, region, domain),\n",
     "    role=role,\n",
     "    train_instance_count=1,\n",
     "    train_instance_type=\"ml.m4.xlarge\",\n",