Fix path issues.

arnocandel · arnocandel · commit 76779580e136 · 2015-11-07T09:10:02.000-08:00
diff --git a/tutorials/deeplearning/README.md b/tutorials/deeplearning/README.md
@@ -414,7 +414,7 @@ Once we are satisfied with the results, we can save the model to disk (on the cl
 
 ```r
 path <- h2o.saveModel(m_cont, 
-          path=paste0(ROOT_PATH,"mybest_deeplearning_covtype_model"), force=TRUE)
+          path="./mybest_deeplearning_covtype_model", force=TRUE)
 ```
 
 It can be loaded later with the following command:
diff --git a/tutorials/deeplearning/deeplearning.R b/tutorials/deeplearning/deeplearning.R
@@ -367,7 +367,7 @@ plot(m_cont)
 #Once we are satisfied with the results, we can save the model to disk (on the cluster). In this example, we store the model in a directory called `mybest_deeplearning_covtype_model`, which will be created for us since `force=TRUE`.
 #
 path <- h2o.saveModel(m_cont, 
-          path=paste0(ROOT_PATH,"mybest_deeplearning_covtype_model"), force=TRUE)
+          path="./mybest_deeplearning_covtype_model", force=TRUE)
 #
 #It can be loaded later with the following command:
 #
diff --git a/tutorials/deeplearning/deeplearning.Rmd b/tutorials/deeplearning/deeplearning.Rmd
@@ -414,7 +414,7 @@ Once we are satisfied with the results, we can save the model to disk (on the cl
 
 ```{r save_model}
 path <- h2o.saveModel(m_cont, 
-          path=paste0(ROOT_PATH,"mybest_deeplearning_covtype_model"), force=TRUE)
+          path="./mybest_deeplearning_covtype_model", force=TRUE)
 ```
 
 It can be loaded later with the following command:
diff --git a/tutorials/deeplearning/deeplearning.md b/tutorials/deeplearning/deeplearning.md
@@ -414,7 +414,7 @@ Once we are satisfied with the results, we can save the model to disk (on the cl
 
 ```r
 path <- h2o.saveModel(m_cont, 
-          path=paste0(ROOT_PATH,"mybest_deeplearning_covtype_model"), force=TRUE)
+          path="./mybest_deeplearning_covtype_model", force=TRUE)
 ```
 
 It can be loaded later with the following command:

Original file line number	Diff line number	Diff line change
`@@ -367,7 +367,7 @@ plot(m_cont)`
`367`	`367`	#Once we are satisfied with the results, we can save the model to disk (on the cluster). In this example, we store the model in a directory called `mybest_deeplearning_covtype_model`, which will be created for us since `force=TRUE`.
`368`	`368`	`#`
`369`	`369`	`path <- h2o.saveModel(m_cont,`
`370`		`- path=paste0(ROOT_PATH,"mybest_deeplearning_covtype_model"), force=TRUE)`
	`370`	`+ path="./mybest_deeplearning_covtype_model", force=TRUE)`
`371`	`371`	`#`
`372`	`372`	`#It can be loaded later with the following command:`
`373`	`373`	`#`