This is an automated email from the ASF dual-hosted git repository.
vvitanska pushed a commit to branch user_guide2.4
in repository https://gitbox.apache.org/repos/asf/incubator-dlab.git
The following commit(s) were added to refs/heads/user_guide2.4 by this push:
new 917fd80 [DLAB-1999]: Added Jupyter kernel in user guide
917fd80 is described below
commit 917fd80379c8ee737f66f8ee7681bd37dea4561a
Author: viravit <[email protected]>
AuthorDate: Mon Aug 17 18:25:35 2020 +0300
[DLAB-1999]: Added Jupyter kernel in user guide
---
USER_GUIDE.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/USER_GUIDE.md b/USER_GUIDE.md
index aa84b03..66c8689 100644
--- a/USER_GUIDE.md
+++ b/USER_GUIDE.md
@@ -127,7 +127,7 @@ Currently by means of DLab, Data Scientists can select
between any of the follow
- RStudio
- RStudio with TensorFlow (implemented on AWS)
- Jupyter with TensorFlow
-- Deep Learning (Jupyter + MXNet, Caffe, Caffe2, TensorFlow, CNTK, Theano,
Torch and Keras)
+- Deep Learning (Jupyter + MXNet, Caffe2, TensorFlow, CNTK, Theano, PyTorch
and Keras)
- JupyterLab
- Superset (implemented on GCP)
@@ -350,7 +350,7 @@ To do that open any of the analytical tools and select
proper kernel/interpreter
**Jupyter** – go to Kernel and choose preferable interpreter between local and
Computational resource ones. Currently we have added support of Python 2 (only
for local kernel)/3, Spark, Scala, R in Jupyter.
-
+
**Zeppelin** – go to Interpreter Biding menu and switch between local and
Computational resource there. Once needed interpreter is selected click on
"Save".
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