Azure · rastala · Mar 11, 2019 · Mar 11, 2019 · Mar 11, 2019
diff --git a/configuration.ipynb b/configuration.ipynb
diff --git a/contrib/RAPIDS/azure-ml-with-nvidia-rapids.ipynb b/contrib/RAPIDS/azure-ml-with-nvidia-rapids.ipynb
@@ -20,7 +20,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "The [RAPIDS](https://www.developer.nvidia.com/rapids) suite of software libraries from NVIDIA enables the execution of end-to-end data science and analytics pipelines entirely on GPUs. In many machine learning projects, a significant portion of the model training time is spent in setting up the data; this stage of the process is known as Extraction, Transformation and Loading, or ETL. By using the DataFrame API for ETL and GPU-capable ML algorithms in RAPIDS, data preparation and training models can be done in GPU-accelerated end-to-end pipelines without incurring serialization costs between the pipeline stages. This notebook demonstrates how to use NVIDIA RAPIDS to prepare data and train model in Azure.\n",
+        "The [RAPIDS](https://www.developer.nvidia.com/rapids) suite of software libraries from NVIDIA enables the execution of end-to-end data science and analytics pipelines entirely on GPUs. In many machine learning projects, a significant portion of the model training time is spent in setting up the data; this stage of the process is known as Extraction, Transformation and Loading, or ETL. By using the DataFrame API for ETL\u00c2\u00a0and GPU-capable ML algorithms in RAPIDS, data preparation and training models can be done in GPU-accelerated end-to-end pipelines without incurring serialization costs between the pipeline stages. This notebook demonstrates how to use NVIDIA RAPIDS to prepare data and train model\u00c2\u00a0in Azure.\n",
         " \n",
         "In this notebook, we will do the following:\n",
         " \n",
@@ -406,4 +406,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 2
-}
+}
diff --git a/googleade5d7141b3f2910.html b/googleade5d7141b3f2910.html
diff --git a/how-to-use-azureml/automated-machine-learning/README.md b/how-to-use-azureml/automated-machine-learning/README.md
@@ -119,7 +119,7 @@ bash automl_setup_linux.sh
     - Retrieving models for any iteration or logged metric
     - Specify automl settings as kwargs
 
-- [auto-ml-remote-batchai.ipynb](remote-batchai/auto-ml-remote-batchai.ipynb)
+- [auto-ml-remote-amlcompute.ipynb](remote-batchai/auto-ml-remote-amlcompute.ipynb)
     - Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
     - Example of using automated ML for classification using remote AmlCompute for training
     - Parallel execution of iterations

diff --git a/how-to-use-azureml/automated-machine-learning/automl_env.yml b/how-to-use-azureml/automated-machine-learning/automl_env.yml
@@ -16,6 +16,7 @@ dependencies:
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-sdk[automl,notebooks,explain]
+  - azureml-sdk[automl,explain]
+  - azureml-widgets
   - pandas_ml
 
diff --git a/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml b/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml
@@ -16,7 +16,8 @@ dependencies:
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-sdk[automl,notebooks,explain]
+  - azureml-sdk[automl,explain]
+  - azureml-widgets
   - pandas_ml
 
 
diff --git a/...omated-machine-learning/dataprep-remote-execution/auto-ml-dataprep-remote-execution.ipynb b/...omated-machine-learning/dataprep-remote-execution/auto-ml-dataprep-remote-execution.ipynb
@@ -195,7 +195,7 @@
         "    dsvm_compute = DsvmCompute.create(ws, name = dsvm_name, provisioning_configuration = dsvm_config)\n",
         "    dsvm_compute.wait_for_completion(show_output = True)\n",
         "    print(\"Waiting one minute for ssh to be accessible\")\n",
-        "    time.sleep(60) # Wait for ssh to be accessible"
+        "    time.sleep(90) # Wait for ssh to be accessible"
       ]
     },
     {