From 6ef7bd106025bb650a1c7f37d73bd24ad225295f Mon Sep 17 00:00:00 2001 From: moshekruger Date: Thu, 6 Feb 2020 23:59:25 +0200 Subject: [PATCH 1/2] notebook changes --- docs/_static/images/notebooks/buttons_11.png | Bin 0 -> 26264 bytes docs/_static/images/notebooks/compare.png | Bin 0 -> 1348 bytes .../images/notebooks/configure_connect.png | Bin 0 -> 12441 bytes .../images/notebooks/connect_button.png | Bin 0 -> 18247 bytes .../images/notebooks/extension_manager.png | Bin 0 -> 133053 bytes .../images/notebooks/get_api_token.png | Bin 0 -> 8855 bytes .../images/notebooks/link_new_notebook.png | Bin 0 -> 56332 bytes docs/_static/images/notebooks/nb-view-11.png | Bin 0 -> 115013 bytes docs/_static/images/notebooks/nb-view-22.png | Bin 0 -> 115013 bytes .../images/notebooks/upload_dialog.png | Bin 0 -> 66374 bytes docs/index.rst | 2 +- docs/notebooks/configuration.rst | 56 ++- docs/notebooks/installation.rst | 154 ++++++-- docs/notebooks/integrations.rst | 343 ++++++++---------- docs/notebooks/introduction.rst | 183 +++++++--- docs/notebooks/troubleshoot.rst | 22 +- 16 files changed, 447 insertions(+), 313 deletions(-) create mode 100644 docs/_static/images/notebooks/buttons_11.png create mode 100644 docs/_static/images/notebooks/compare.png create mode 100644 docs/_static/images/notebooks/configure_connect.png create mode 100644 docs/_static/images/notebooks/connect_button.png create mode 100644 docs/_static/images/notebooks/extension_manager.png create mode 100644 docs/_static/images/notebooks/get_api_token.png create mode 100644 docs/_static/images/notebooks/link_new_notebook.png create mode 100644 docs/_static/images/notebooks/nb-view-11.png create mode 100644 docs/_static/images/notebooks/nb-view-22.png create mode 100644 docs/_static/images/notebooks/upload_dialog.png diff --git a/docs/_static/images/notebooks/buttons_11.png b/docs/_static/images/notebooks/buttons_11.png new file mode 100644 index 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In Jupyter, click **Connect to Neptune**. + +.. image:: ../_static/images/notebooks/connect_button.png + :target: ../_static/images/notebooks/connect_button.png :alt: image -**Step 2** -You see **Configure connection to Neptune**. Paste API Token first, then select project: +The **Configure your connection to Neptune** dialog appears. -* *API Token* - take one from your account. :ref:`Check this `, if you do not know where *API Token* is located. This field is validated automatically. -* *Select project* - pick one from the drop down list. -* Click **Create notebook**. +.. image:: ../_static/images/notebooks/configure_connect.png + :target: ../_static/images/notebooks/configure_connect.png + :alt: image -.. warning:: Your *API Token* is private and unique. Never share it. It's like sharing password. -.. image:: ../_static/images/notebooks/checkpoint_01.png - :target: ../_static/images/notebooks/checkpoint_01.png - :alt: image +2. Leave the dialog open and switch to the Neptune UI. -.. image:: ../_static/images/notebooks/checkpoint_02.png - :target: ../_static/images/notebooks/checkpoint_02.png - :alt: image +3. In the Neptune UI, obtain your API Token and copy it to the clipboard. -.. image:: ../_static/images/notebooks/checkpoint_03.png - :target: ../_static/images/notebooks/checkpoint_03.png - :alt: image + a. Next to your user name, click the avatar, and then click **Get API Token**. + + .. image:: ../_static/images/notebooks/get_api_token.png + :target: ../_static/images/notebooks/get_api_token.png + :alt: image -.. note:: Success! You just created new notebook with first checkpoint in the project you selected. + b. In the dialog that appears, click the **Copy to clipboard** button on the right. Then click **Close**. -**Step 3** +4. Switch back to Jupyter. In the dialog you left open, paste the token you copied to the cipboard. Click **Connect**. -* You can use *this link* at the top, to go directly to this notebook in Neptune. -* Click **Integrate** button to run environment variables export. It allows Neptune to checkpoint your work correctly. Moreover, you will be able to run Neptune experiments directly from notebook. + A confirmation message is displayed. It contains a link through which you can go directly to this Notebook in Neptune. + +.. warning:: Your *API Token* is private and unique. Never share it. It's like sharing password. -.. image:: ../_static/images/notebooks/integration_01.png - :target: ../_static/images/notebooks/integration_01.png - :alt: image -.. note:: Re-run **Integrate** each time you reset or restart your kernel. +5. To conclude, in Jupyter, activate the configuration to create Neptune experiments and see them all linked to this Notebook. Click **Activate**. In the dialog that appears, click **Activate**. \ No newline at end of file diff --git a/docs/notebooks/installation.rst b/docs/notebooks/installation.rst index 66d7447e..45dc417e 100644 --- a/docs/notebooks/installation.rst +++ b/docs/notebooks/installation.rst @@ -1,77 +1,167 @@ -Installation for Jupyter and JupyterLab -======================================= +Installing neptune-notebooks +============================ +This page provides instructions for installing neptune-notebooks -- the Neptune Jupyter extension. -Jupyter -------- -Install `neptune-notebooks extension `_: +The extension integrates between Neptune and Jupyter or JupyterLab. When the extension is successfully installed, +you will be able to upload notebooks to Neptune, check out previously uploaded Notebooks, +and track experiments and metrics directly from the Jupyter UI. +Neptune versions the Notebook automatically once an experiment has started. + +About neptune-notebooks +^^^^^^^^^^^^^^^^^^^^^^^ + +neptune-notebooks is a Python package hosted `here `_. It includes: + +- A very basic CLI (command line interface) for uploading notebooks. +- Standard Jupyter extension. The extension is written in Javascript and is visible in the web-based Jupyter UI. It is not hosted anywhere separately, only as part of the python package. +- JupyterLab extension. The extension is written in Javascript and is visible in the web-based Jupyter UI. +It is hosted `here `_. + + +For Jupyter +----------- + +1. Install `neptune-notebooks extension `_: .. code-block:: bash pip install neptune-notebooks -Then enable extension for your Jupyter: +2. Enable the extension for Jupyter: .. code-block:: bash jupyter nbextension enable --py neptune-notebooks -Remember to install Neptune-client, if you did not do so already: +3. Install Neptune client, if you did not do so already: .. code-block:: bash pip install neptune-client -JupyterLab ----------- -Requirements -^^^^^^^^^^^^ -`Node.js `_ and `npm `_ are required. +For JupyterLab +--------------- -To check if you have Node.js installed, run this command in your terminal: +JupyterLab is the next-generation web-based UI for Project Jupyter. -.. code-block:: bash +When you install JupyterLab using ``pip install jupyterlab``, the standard Jupyter is also installed, as a dependency. + + +Installation methods +^^^^^^^^^^^^^^^^^^^^ +You can install the extension using any of the following three methods: + +- Through the command line (full neptune-notebooks package) +- Through the command line (JupyterLab extension only) +- Using the Extension Manager (JupyterLab extension only) + +**Requirements** + +Irrespective of which method you use, the following must be preinstalled on your system before you begin. + +- `Node.js `_ +- `npm `_ +- `JupyterLab `_ + +.. tip:: When installing Python packages, it is best practice to work in a `virtual environment `_. + + +Method 1: Install the full neptune-notebooks package through the command line +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +**Pros** + +This is the most comprehensive type of installation: + +- It includes extensions for both standard Jupyter and JupyterLab. +- It also installs a CLI for uploading Notebook files. +- The the neptune-client package is a dependency. + +**Cons** - node -v +- After the installation, you still have to perform some manual actions in JupyterLab. +- This method is not the preferred way of installing extensions in JupyterLab. +**Procedure** -To confirm that you have npm installed you can run this command in your terminal: +1. In the console, run: .. code-block:: bash - npm -v + pip install neptune-notebooks -If you do not have them, please refer to: `installation instructions `_. +2. Start JupyterLab by running: -Using command line -^^^^^^^^^^^^^^^^^^ -Install `neptune-notebooks `_ for your JupyterLab. In terminal run: +.. code-block:: bash + + jupyter lab + +3. In the "Build Recommended" notification that is displayed, click **Build**. +4. In the "Build Complete" notification that is displayed, click **Reload**. + +The extension is loaded. + +Method 2: Install the JupyterLab extension only through the command line +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This method installs only the extension to JupyterLab. + +**Cons** + +The neptune-notebooks pip package, neptune-client pip package and extension to the standard Jupyter are not installed. + +**Pros** + +This method gives you more flexibility. For example, the extension can be running on a +different machine than your code that is executed from the Notebook. + +**Procedure** + +1. In the console, run: .. code-block:: bash jupyter labextension install neptune-notebooks -Remember to install Neptune-client, if you did not do so already: +2. Start JupyterLab by running: .. code-block:: bash - pip install neptune-client + jupyter lab -Using JupyterLab extension manager (alternative) -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +3. In the "Build Recommended" notification that is displayed, click **Build**. +4. In the "Build Complete" notification that is displayed, click **Reload**. -**Step 1** -Enable extension manager. Select "Commands" (third icon on left panel), then click on "Enable Extension Manager (experimental)" +Method 3: Install the JupyterLab extension only, using the JupyterLab Extension Manager +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -.. image:: ../_static/images/notebooks/ext-manager-1.png - :target: ../_static/images/notebooks/ext-manager-1.png - :alt: enable extension manager +**Procedure** -**Step 2** +1. In JupyterLab, enable Extension Manager, by clicking **Settings** > **Enable Extension Manager (experimental)**. -Go to "Extension Manager" (third icon on left panel) and search for "neptune-notebooks". Click "Install", then "Enable". +.. image:: ../_static/images/notebooks/extension_manager.png + :target: ../_static/images/notebooks/extension_manager.png + :alt: Enable extension manager + +2. Find neptune-notebooks and click **Install**. .. image:: ../_static/images/notebooks/ext-manager-2.png :target: ../_static/images/notebooks/ext-manager-2.png :alt: go to extension manager and search for neptune-notebooks + + +Checking if installation was successful +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Provided you have `configured `_ Jupyter correctly, the following Neptune buttons appear in Jupyter notebooks: + +.. image:: ../_static/images/notebooks/buttons_11.png + :target: ../_static/images/notebooks/buttons_11.png + :alt: image + +- **Neptune**: For modifying configuration. +- **Upload**: For creating a new checkpoint in Neptune. +- **Download**: For downloading a specific checkpoint from Neptune. +- **Activate**: For activating the Python kernel. \ No newline at end of file diff --git a/docs/notebooks/integrations.rst b/docs/notebooks/integrations.rst index ada15783..7e90e8b7 100644 --- a/docs/notebooks/integrations.rst +++ b/docs/notebooks/integrations.rst @@ -1,279 +1,238 @@ -Integrations with AWS, SageMaker and Google Colab -================================================= +Integrations with AWS and SageMaker +=================================== + +Setting up Neptune-enabled JupyterLab on AWS +--------------------------------------------- +You can run Neptune and track experiments that you run on AWS cloud. -Setup Neptune-enabled JupyterLab on AWS ---------------------------------------- -I would like to run Neptune and track experiments that I run on AWS cloud. -How do I do that? .. image:: ../_static/images/others/aws_neptuneml.png :target: ../_static/images/others/aws_neptuneml.png :alt: AWS neptune.ai integration -**Register to AWS** - -Follow the `registration instructions `_ from official webpage to create your AWS account. +1. Register to AWS. -**Start EC2 instance** + Follow the `registration instructions `_ from official webpage to create your AWS account. -Start a new EC2 instance. Select `ubuntu` as your instance type and choose a worker type you need. -You can go with `t2.micro` just to test it out. +2. Start an EC2 instance. -**ssh to your instance** + Start a new EC2 instance. Select `ubuntu` as your instance type and choose a worker type you need. + You can go with `t2.micro` just to test it out. -Connect to your instance by going to the terminal and running: +3. SSH to your instance. -.. code-block:: Bash + Connect to your instance by going to the terminal and running: - ssh -i /path_to_key/my_key.pem ubuntu@public_dns_name + .. code-block:: Bash -*(make sure that you put correct key and public_dns_name)* + ssh -i /path_to_key/my_key.pem ubuntu@public_dns_name -**Install docker** + Make sure that you specify the correct key and public_dns_name. -Create a new file `install_docker.sh`: +4. Install Docker. -.. code-block:: Bash + a. Create a new file `install_docker.sh`: - nano install_docker.sh + .. code-block:: Bash -Copy the following commands to it: + nano install_docker.sh -.. code-block:: Bash + b. Copy the following commands to it: - sudo apt-get update - sudo apt-get install \ - apt-transport-https \ - ca-certificates \ - curl \ - gnupg-agent \ - software-properties-common - curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - - sudo apt-key fingerprint 0EBFCD88 - sudo add-apt-repository \ - "deb [arch=amd64] https://download.docker.com/linux/ubuntu \ - $(lsb_release -cs) \ - stable" - sudo apt-get update - sudo apt-get install docker-ce docker-ce-cli containerd.io + .. code-block:: Bash -Run the installation script: + sudo apt-get update + sudo apt-get install \ + apt-transport-https \ + ca-certificates \ + curl \ + gnupg-agent \ + software-properties-common + curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - + sudo apt-key fingerprint 0EBFCD88 + sudo add-apt-repository \ + "deb [arch=amd64] https://download.docker.com/linux/ubuntu \ + $(lsb_release -cs) \ + stable" + sudo apt-get update + sudo apt-get install docker-ce docker-ce-cli containerd.io -.. code-block:: Bash + c. Run the installation script: - source install_docker.sh + .. code-block:: Bash -**Define your secrets** + source install_docker.sh -| Go to Neptune web app, get your ``NEPTUNE_API_TOKEN`` and copy it. Then, create a password for your JupyterLab server. -| Set those two secrets to your environment variables ``NEPTUNE_API_TOKEN`` and ``JUPYTERLAB_PASSWORD``, like below: +5. Define your secrets. -.. code-block:: Bash + Go to Neptune web app, get your ``NEPTUNE_API_TOKEN`` and copy it. Then, create a password for your JupyterLab server. + Set those two secrets to your environment variables ``NEPTUNE_API_TOKEN`` and ``JUPYTERLAB_PASSWORD``, as shown: - export NEPTUNE_API_TOKEN='your_api_token==' - export JUPYTERLAB_PASSWORD='difficult_password' + .. code-block:: Bash -**Build docker image** + export NEPTUNE_API_TOKEN='your_api_token==' + export JUPYTERLAB_PASSWORD='difficult_password' -Create a new file `Dockerfile`: +6. Build the Docker image. -.. code-block:: Bash + a. Create a new file `Dockerfile`: - nano Dockerfile + .. code-block:: Bash -Copy insights of the following `Dockerfile` to your newly created file: + nano Dockerfile -.. code-block:: Docker + b. Copy insights of the following `Dockerfile` to your newly created file: - # Use a miniconda3 as base image - FROM continuumio/miniconda3 + .. code-block:: Docker - # Installation of jupyterlab and extensions - RUN pip install jupyterlab==0.35.6 && \ - pip install jupyterlab-server==0.2.0 && \ - conda install -c conda-forge nodejs - - # Installation of Neptune and enabling neptune extension - RUN pip install neptune-client && \ - pip install neptune-notebooks && \ - jupyter labextension install neptune-notebooks + # Use a miniconda3 as base image + FROM continuumio/miniconda3 - # Setting up Neptune API token as env variable - ARG NEPTUNE_API_TOKEN - ENV NEPTUNE_API_TOKEN=$NEPTUNE_API_TOKEN + # Installation of jupyterlab and extensions + RUN pip install jupyterlab==0.35.6 && \ + pip install jupyterlab-server==0.2.0 && \ + conda install -c conda-forge nodejs - # Adding current directory to container - ADD . /mnt/workdir - WORKDIR /mnt/workdir + # Installation of Neptune and enabling neptune extension + RUN pip install neptune-client && \ + pip install neptune-notebooks && \ + jupyter labextension install neptune-notebooks -| *(If you want to run on GPU make sure to change your `Dockerfile` to start from nvidia docker images)*. + # Setting up Neptune API token as env variable + ARG NEPTUNE_API_TOKEN + ENV NEPTUNE_API_TOKEN=$NEPTUNE_API_TOKEN -Run following command to build your docker image: + # Adding current directory to container + ADD . /mnt/workdir + WORKDIR /mnt/workdir -.. code-block:: Bash + If you want to run on a GPU, make sure to change your `Dockerfile` to start from nvidia docker images. - sudo docker build -t jupyterlab --build-arg NEPTUNE_API_TOKEN=$NEPTUNE_API_TOKEN . + c. Run following command to build your Docker image: -**Start JupyterLab server** + .. code-block:: Bash -Spin up JupyterLab server with docker: + sudo docker build -t jupyterlab --build-arg NEPTUNE_API_TOKEN=$NEPTUNE_API_TOKEN . -.. code-block:: Bash +7. Start the JupyterLab server. Spin up a JupyterLab server with Docker: - sudo docker run --rm -v `pwd`:/work/output -p 8888:8888 jupyterlab:latest \ - /opt/conda/bin/jupyter lab --allow-root --ip=0.0.0.0 --port=8888 --NotebookApp.token=$JUPYTERLAB_PASSWORD + .. code-block:: Bash -**Forward ports via ssh tunnel** + sudo docker run --rm -v `pwd`:/work/output -p 8888:8888 jupyterlab:latest \ + /opt/conda/bin/jupyter lab --allow-root --ip=0.0.0.0 --port=8888 --NotebookApp.token=$JUPYTERLAB_PASSWORD -Open a new terminal on your local machine and run: +8. Forward ports via SSH tunnel. Open a new terminal on your local machine and run: -.. code-block:: Bash + .. code-block:: Bash - ssh -L 8888:localhost:8888 ubuntu@public_dns_name & + ssh -L 8888:localhost:8888 ubuntu@public_dns_name & -*(make sure that you put correct public_dns_name)* + Make sure that you specify the correct public_dns_name. -**Open JupyterLab server in your browser** +9. Open the JupyterLab server in your browser. -Go to `localhost:8888` and enjoy your JupyterLab server with Neptune! + Go to `localhost:8888`. + +Enjoy your JupyterLab server with Neptune. -**Final result** +Neptune extensions are enabled and ``NEPTUNE_API_TOKEN`` is already in the environment variable so you can work with +Notebooks and run experiments with no problem. -Neptune extensions are enabled and ``NEPTUNE_API_TOKEN`` is already in the environment variable so you can work with Notebooks and run experiments with no problems. - -Setup Neptune-enabled AWS SageMaker Jupyter instance ----------------------------------------------------- -I would like to use Neptune to track experiments that I run on AWS SageMaker. -How do I do that? +Setting up a Neptune-enabled AWS SageMaker Jupyter instance +----------------------------------------------------------- +You can use Neptune to track experiments that you run on AWS SageMaker. .. image:: ../_static/images/others/sagemaker_neptuneml.png :target: ../_static/images/others/sagemaker_neptuneml.png :alt: Amazon SageMaker neptune.ai integration -**Register to AWS** - -Follow the `registration instructions `_ from official website to create your AWS account. - -**Create Lifecycle configuration** - -Go to SageMaker *Lifecycle configurations* and click on *Create configuration*. - -.. image:: ../_static/images/how-to/ht-sagemaker-create_configuration.png - :target: ../_static/images/how-to/ht-sagemaker-create_configuration.png - :alt: image - -You can choose whatever name you want just make sure to remember it. - -Now, you should modify the *Create notebook* script to run it only once at creation of your SageMaker notebook instance. - -.. image:: ../_static/images/how-to/ht-sagemaker-config_specs.png - :target: ../_static/images/how-to/ht-sagemaker-config_specs.png - :alt: image - -Copy and paste the script below to your *Create notebook* tab. -Choose in which environments you want to install *neptune-client* in the *PARAMETERS* section. +1. Register to AWS. -.. code-block:: Bash + Follow the `registration instructions `_ from official website to create your AWS account. - #!/bin/bash +2. Create Lifecycle configuration. - set -e + Go to SageMaker *Lifecycle configurations* and click *Create configuration*. - sudo -u ec2-user -i <<'EOF' + .. image:: ../_static/images/how-to/ht-sagemaker-create_configuration.png + :target: ../_static/images/how-to/ht-sagemaker-create_configuration.png + :alt: image - # PARAMETERS - ENVS=( - python3 - pytorch_p36 - ) + You can choose whatever name you want just make sure to remember it. - # Install Neptune client library - for env in $ENVS; do - source /home/ec2-user/anaconda3/bin/activate $env - pip install neptune-client - source /home/ec2-user/anaconda3/bin/deactivate - done - - # Install jupyter extension - source /home/ec2-user/anaconda3/bin/activate JupyterSystemEnv - pip install neptune-notebooks - jupyter nbextension enable --py neptune-notebooks --sys-prefix - jupyter labextension install neptune-notebooks - source /home/ec2-user/anaconda3/bin/deactivate - - EOF - -**Create notebook instance** - -Go to SageMaker *Notebook instances* and click on *Create notebook instance*. - -.. image:: ../_static/images/how-to/ht-sagemaker-create_instance.png - :target: ../_static/images/how-to/ht-sagemaker-create_instance.png - :alt: image - -Select an *instance name* and click on *Additional configuration* to add the *Lifecycle configuration* you have just created: + Now, you should modify the *Create notebook* script to run it only once at the creation of your SageMaker notebook instance. -.. image:: ../_static/images/how-to/ht-sagemaker-create_instance_specs.png - :target: ../_static/images/how-to/ht-sagemaker-create_instance_specs.png - :alt: image + .. image:: ../_static/images/how-to/ht-sagemaker-config_specs.png + :target: ../_static/images/how-to/ht-sagemaker-config_specs.png + :alt: image -You can now click *Create notebook instance* instance at the bottom to start your instance. + + Copy and paste the script below to your *Create notebook* tab. + Choose in which environments you want to install *neptune-client* in the *PARAMETERS* section. -.. image:: ../_static/images/how-to/ht-sagemaker-create_notebook_run.png - :target: ../_static/images/how-to/ht-sagemaker-create_notebook_run.png - :alt: image + .. code-block:: Bash -**Start notebook** + #!/bin/bash -If everything went well your AWS SageMaker instance should be *InService* and you can now open Jupyter Notebook or Jupyter lab with Neptune notebook-versioning enabled! + set -e -.. image:: ../_static/images/how-to/ht-sagemaker-notebook_run.png - :target: ../_static/images/how-to/ht-sagemaker-notebook_run.png - :alt: image + sudo -u ec2-user -i <<'EOF' -You can now version your notebooks and track experiments in Amazon SageMaker with Neptune! + # PARAMETERS + ENVS=( + python3 + pytorch_p36 + ) -.. image:: ../_static/images/how-to/ht-sagemaker-notebook_runs.png - :target: ../_static/images/how-to/ht-sagemaker-notebook_runs.png - :alt: image + # Install Neptune client library + for env in $ENVS; do + source /home/ec2-user/anaconda3/bin/activate $env + pip install neptune-client + source /home/ec2-user/anaconda3/bin/deactivate + done + # Install jupyter extension + source /home/ec2-user/anaconda3/bin/activate JupyterSystemEnv + pip install neptune-notebooks + jupyter nbextension enable --py neptune-notebooks --sys-prefix + jupyter labextension install neptune-notebooks + source /home/ec2-user/anaconda3/bin/deactivate -Track Google Colab experiments with Neptune -------------------------------------------- -I would like to run my experiments on Google Colab and track them with Neptune. How do I do that? - -.. image:: ../_static/images/others/colab_neptuneml.png - :target: ../_static/images/others/colab_neptuneml.png - :alt: Google Colaboratory neptune.ai integration - -**Install Neptune client** - -Go to your first cell in Google Colab and install `neptune-client`: - -.. code-block:: Bash + EOF - ! pip install neptune-client +3. Create a notebook instance. -**Set Neptune API token** + Go to SageMaker *Notebook instances* and click on *Create notebook instance*. -Go to Neptune web app and get your API token. Set it to the environment variable `NEPTUNE_API_TOKEN`: + .. image:: ../_static/images/how-to/ht-sagemaker-create_instance.png + :target: ../_static/images/how-to/ht-sagemaker-create_instance.png + :alt: image -.. code-block:: Bash + + Select an *instance name* and click on *Additional configuration* to add the *Lifecycle configuration* you have just created: - % env NEPTUNE_API_TOKEN='your_private_neptune_api_token==' + .. image:: ../_static/images/how-to/ht-sagemaker-create_instance_specs.png + :target: ../_static/images/how-to/ht-sagemaker-create_instance_specs.png + :alt: image -Delete this cell. + + You can now click *Create notebook instance* instance at the bottom to start your instance. -.. warning:: + .. image:: ../_static/images/how-to/ht-sagemaker-create_notebook_run.png + :target: ../_static/images/how-to/ht-sagemaker-create_notebook_run.png + :alt: image - It is very important that you delete this cell not to share your private token with anyone. +4. Start notebook. -**That's it. Run your training script with Neptune.** + If everything went well, your AWS SageMaker instance should be *InService* and you can now open Jupyter Notebook or JupyterLab + with Neptune notebook-versioning enabled! -.. code-block:: Python + .. image:: ../_static/images/how-to/ht-sagemaker-notebook_run.png + :target: ../_static/images/how-to/ht-sagemaker-notebook_run.png + :alt: image - import neptune - neptune.init('USER_NAME/PROJECT_NAME') + You can now version your notebooks and track experiments in Amazon SageMaker with Neptune! - with neptune.create_experiment(): - neptune.send_metric('auc', 0.92) + .. image:: ../_static/images/how-to/ht-sagemaker-notebook_runs.png + :target: ../_static/images/how-to/ht-sagemaker-notebook_runs.png + :alt: image \ No newline at end of file diff --git a/docs/notebooks/introduction.rst b/docs/notebooks/introduction.rst index 8e7de746..a49d1732 100644 --- a/docs/notebooks/introduction.rst +++ b/docs/notebooks/introduction.rst @@ -1,81 +1,170 @@ -Notebooks in Neptune -==================== +Using Jupyter Notebooks in Neptune +================================== .. image:: ../_static/images/others/notebooks_neptuneml.png :target: ../_static/images/others/notebooks_neptuneml.png :alt: Jupyter notebooks neptune.ai integration -Introduction + +Jupyter Notebooks are a useful and popular tool for data scientists, regardless of their area of specialization. +They allow data scientists to work interactively, keeping code and results - like visualizations - in a single document. + +While Neptune is essentially a platform for tracking experiments, it provides Jupyter and JupyterLab extensions that also let +you track Jupyter Notebooks. + +Key Features ------------ -Notebooks are essential tool for data scientists, regardless their area of specialization. They allow data scientists to work interactively, keeping code and results - like visualizations - in a single document. Neptune builds on top of this experience and comes with Jupyter and JupyterLab extensions that let you track Notebooks in Neptune. -Notebooks in Neptune - key features: +* In Neptune, each Notebook consist of a collection of checkpoints that you upload directly from the Jupyter user interface. +* In any project, an unlimited number of Notebooks and checkpoints is allowed. +* You can browse checkpoints history across all `Notebooks in the project `_. +* You can `share `_ a notebook as a link. +* You can `compare `_ two Notebooks side-by-side, like source code. -* In Neptune, each notebook consist of collection of checkpoints that you upload directly from the Jupyter User interface. -* In the project, unlimited number of notebooks and checkpoints is allowed. -* Browse checkpoints history across all `notebooks in the project `_, -* `Share `_ notebook as a link, -* `Compare `_ two notebooks side-by-side like source code. -Quick-start +Quick Start ----------- -* To start working with notebooks in Neptune, `install `_ and `configure `_ open source extension for Jupyter or JupyterLab. When you have it done, you can start working with notebooks immediately. -* To try it now, without registering to Neptune, look at example notebooks in public project `onboarding `_. Use public user's API token (username: *neptuner*) to upload some snapshots to this project (you still need to `install `_ and `configure `_ Jupyter extension). +To start working with notebooks in Neptune, `install `_ and `configure `_ the open +source extension for Jupyter or JupyterLab. When you are done, you can start working with Notebooks immediately. + +To try it now, without registering to Neptune, look at the sample notebooks in the public project `onboarding `_. +Use the public user's API token that appears below, and the username *neptuner* to upload some snapshots to this project. +You still need to `install `_ and `configure `_ Jupyter extension. + +**Public user’s API token**: .. code-block:: bash eyJhcGlfYWRkcmVzcyI6Imh0dHBzOi8vdWkubmVwdHVuZS5tbCIsImFwaV9rZXkiOiJiNzA2YmM4Zi03NmY5LTRjMmUtOTM5ZC00YmEwMzZmOTMyZTQifQ== -Tour ----- -`Notebooks view `_ is a collection of all notebooks in the project - each can have multiple checkpoints. - -Notebooks view -~~~~~~~~~~~~~~ -* See what your team members are working on now. -* Review details and checkpoints associated with Notebook. -* Share, compare or download notebook. +Notebook UI +----------- +The `Notebooks tab `_ in the Neptune UI provides a table of all the Notebooks in the current project. -.. image:: ../_static/images/notebooks/nb-view-1.png - :target: ../_static/images/notebooks/nb-view-1.png +.. image:: ../_static/images/notebooks/nb-view-11.png + :target: ../_static/images/notebooks/nb-view-11.png :alt: image + +This view lets you see what your team members are working on, review details and checkpoints associated with a Notebook, as well as share or download a Notebook and compare two or more Notebooks. + +The Notebook data is arranged in the following columns: + +* Name +* Owner +* Latest checkpoint +* Description + +In addition, for each Notebook, there are buttons for downloading the Notebook, comparing it with another Notebook, or for sharing a link to it. + +A **Compare** button at the top right displays a Notebooks Comparison pane. See `Compare Notebooks `_. + Notebook contents ~~~~~~~~~~~~~~~~~ -Once you entered notebook, you can see all its content, that is: code and markdown cells, outputs and execution count. +Once you select a Notebook, you can see all its contents, that is: code and markdown cells, outputs and execution count. + +There are two tabs on the right: -* Look at the snapshot of the work with notebook. -* Download, share or compare this checkpoint. +- **Details**: Here are shown the ID, size, creation date, latest checkpoint, owner, description and associated experiments of the selected Notebook. +- **Checkpoints**: Here are listed all the checkpoints of the Notebook. Click a checkpoint to see the details in the main pane. From this tab, you can also access the experiments that are associated with the checkpoint. +You can also view snapshots of the work with the Notebook, as well as download, share or compare this checkpoint with another checkpoint. -.. image:: ../_static/images/notebooks/nb-view-2.png - :target: ../_static/images/notebooks/nb-view-2.png +.. image:: ../_static/images/notebooks/nb-view-22.png + :target: ../_static/images/notebooks/nb-view-22.png :alt: image -Notebooks comparison -~~~~~~~~~~~~~~~~~~~~ -Select two notebooks and compare their contents - code and markdown cells, outputs and execution count - side-by-side just like source code. `Compare view `_ let you look at diff between checkpoints of the same notebook, or two entirely different notebooks (Try yourself `here `_). +Compare Notebooks +~~~~~~~~~~~~~~~~~ + +The Notebooks Comparison pane lets you compare Notebook checkpoints. + +You display the pane by clicking the **Compare** button anywhere it is visible in the Notebooks pane. + +.. image:: ../_static/images/notebooks/compare.png + :target: ../_static/images/notebooks/compare.png + :alt: image + +In the Notebooks Comparison pane, select two Notebook checkpoints, then click **Compare** to see a side-by-side comparison, just like source code. + +.. Commented out. Doesn't seem to be working. +.. `Compare view `_ let you look at the difference between checkpoints of the same Notebook, or two entirely different Notebooks (Try yourself `here `_). + + +* Differences in code, markdown, output and execution count are highlighted. +* Summary information about the differences is displayed at the top of the pane. .. image:: ../_static/images/notebooks/nb-view-cmp-1.png :target: ../_static/images/notebooks/nb-view-cmp-1.png :alt: image -* Code, markdown, output and execution count differences highlighted. -* Top bar displays summary information about diff. -Upload notebook checkpoint --------------------------- -Once `configured `_\ , you can see two Neptune buttons. +Upload and Downloading Notebook Checkpoints +------------------------------------------- -* - **n** button is for configuration changes -* - **Upload** button is for making checkpoint in Neptune (*see below*) +Notebooks are stored as files on your computer. -.. image:: ../_static/images/notebooks/buttons_02_1.png - :target: ../_static/images/notebooks/buttons_02_1.png - :alt: image +Each Notebook file (.ipynb) is a JSON containing everything that the user can see in a Notebook and some metadata. +Neptune uses metadata to associate particular files with Notebook entities on Notebook servers. That means that after a Notebook +is uploaded to Neptune, the file on disk is changed to include the ID of the entity on the Neptune server. -* - Click **Upload**\ , whenever you want to create new checkpoint in Neptune. -* - You will see tooltip with link as a confirmation. +**Name changes** -.. image:: ../_static/images/notebooks/buttons_03_1.png - :target: ../_static/images/notebooks/buttons_03_1.png - :alt: image +If you copy a Notebook file (let’s call it "Notebook A") and +edit it with the intention of creating something completely separate from Notebook A, +the association with Notebook A on the Neptune server remains. If the name of the Notebook changes from "Notebook A", +you will be warned. + +.. image:: ../_static/images/notebooks/upload_dialog.png + :target: ../_static/images/notebook/upload_dialog.png + :alt: Upload Notebook dialog + + +**Global accessibility** + +When you download a Notebook checkpoint, the ID in the metadata is preserved, so that when, after some work, +you click **Upload**, Neptune knows that this may be another checkpoint in a particular Notebook. +You can do some work, upload some intermediate snapshot, go to another computer +(or another SageMaker instance, and so on), download the Notebook and keep on working on it. + +The capability is comparable to Google Docs in that there’s a place where you store your work and you can access +it easily from wherever you choose. + +**Collaboration** + +Members of a project can view and download all Notebooks (and their checkpoints) in the project. +Members of a project can upload new Notebooks to the project. + +When uploading a new Notebook, a user becomes the author/owner of this Notebook. Only the owner of a Notebook can upload +new checkpoints of this Notebook. + +.. image:: ../_static/images/notebooks/link_new_notebook.png + :target: ../_static/images/notebook/link_new_notebook.png + :alt: Link new Notebook dialog + +Uploading a Notebook +~~~~~~~~~~~~~~~~~~~~ + +You can upload Notebook checkpoints from Jupyter to Neptune. + +**To upload the current Notebook as a checkpoint**: + +1. Click **Upload**. +2. In the dialog that is displayed, select a project from the list. +3. (Optional) Type in a checkpoint name and description. +4. Click **Create notebook**. + +A confirmation message is displayed. You can click the link in the message to open the Notebook in Neptune. + +Downloading a Notebook +~~~~~~~~~~~~~~~~~~~~~~ + +You can download a specific Notebook checkpoint from Neptune to Jupyter. + +**To download a Notebook checkpoint**: + +1. Click **Upload**. +2. In the dialog that is displayed, select the following from the respective lists: + - Project + - Notebook + - Checkpoint +3. Click **Download**. diff --git a/docs/notebooks/troubleshoot.rst b/docs/notebooks/troubleshoot.rst index 40a32ba4..2cc5854a 100644 --- a/docs/notebooks/troubleshoot.rst +++ b/docs/notebooks/troubleshoot.rst @@ -7,18 +7,18 @@ Typical problems with notebooks, together with their solutions are listed here. :depth: 1 :backlinks: top -I can't see 'configure' button. What to do? +I can't see the **Configure** button. What to do? ------------------------------------------- -Make sure to install notebook extension: +Make sure to install the notebook extension: .. code-block:: bash pip install neptune-notebooks -then enable extension for your Jupyter: +then enable the extension for your Jupyter: .. code-block:: bash - +00000000000 jupyter nbextension enable --py neptune-notebooks Don't forget to install Neptune client: @@ -27,9 +27,9 @@ Don't forget to install Neptune client: pip install neptune-client -How to enable notebook extension in my jupyter? +How to enable notebook extension in my Jupyter? ----------------------------------------------- -Enable extension for your jupyter: +Enable extension for your Jupyter: .. code-block:: bash @@ -37,8 +37,8 @@ Enable extension for your jupyter: I do not know where my notebook was uploaded. How to check it? -------------------------------------------------------------- -#. Click on the **n** button in your jupyter menu. -#. Click on **Checkpoint**. +#. Click the **n** button in your Jupyter menu. +#. Click **Checkpoint**. #. Bottom drop-down is your current project. .. _token-location: @@ -46,15 +46,15 @@ I do not know where my notebook was uploaded. How to check it? Where is *NEPTUNE_API_TOKEN*? ----------------------------- #. Log in to `neptune `_. -#. Click on your avatar (top-right part of the screen) and select **Get API Token** +#. Click your avatar (top-right part of the screen) and select **Get API Token** .. image:: ../_static/images/notebooks/token.png :target: ../_static/images/notebooks/token.png :alt: image -My integration does not work, but it worked well previously. What do to? +My integration does not work, but it worked well previously. What do I do? ------------------------------------------------------------------------ -Most likely, you restarted kernel. Here is a solution: +Most likely, you restarted the kernel. Here is a solution: #. Go to configuration (**n** button). #. Click **Integrate**. From 2a602a858c455abfb004a2b083b1905eedba16b7 Mon Sep 17 00:00:00 2001 From: moshekruger Date: Wed, 12 Feb 2020 17:55:27 +0200 Subject: [PATCH 2/2] implemented Piotr's comments and more --- .../how-to/ht-sagemaker-notebook_runs_01.png | Bin 0 -> 30729 bytes .../images/notebooks/activate_button.png | Bin 0 -> 2692 bytes .../images/notebooks/download_dialog.png | Bin 0 -> 16958 bytes .../images/notebooks/extension_manager.png | Bin 133053 -> 112432 bytes .../images/notebooks/upload_dialog.png | Bin 66374 -> 66175 bytes docs/index.rst | 2 +- docs/notebooks/configuration.rst | 8 +- docs/notebooks/installation.rst | 38 +++++---- docs/notebooks/integrations.rst | 75 ++++++++++-------- docs/notebooks/introduction.rst | 46 ++++++----- docs/notebooks/troubleshoot.rst | 40 ++++++---- 11 files changed, 120 insertions(+), 89 deletions(-) create mode 100644 docs/_static/images/how-to/ht-sagemaker-notebook_runs_01.png create mode 100644 docs/_static/images/notebooks/activate_button.png create mode 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In the Neptune UI, obtain your API Token and copy it to the clipboard. - a. Next to your user name, click the avatar, and then click **Get API Token**. + a. In the upper right corner, click the avatar, and then click **Get API Token**. .. image:: ../_static/images/notebooks/get_api_token.png :target: ../_static/images/notebooks/get_api_token.png @@ -32,11 +32,13 @@ The **Configure your connection to Neptune** dialog appears. b. In the dialog that appears, click the **Copy to clipboard** button on the right. Then click **Close**. -4. Switch back to Jupyter. In the dialog you left open, paste the token you copied to the cipboard. Click **Connect**. +4. Switch back to Jupyter. In the dialog you left open, paste the token you copied to the clipboard. Click **Connect**. A confirmation message is displayed. It contains a link through which you can go directly to this Notebook in Neptune. .. warning:: Your *API Token* is private and unique. Never share it. It's like sharing password. -5. To conclude, in Jupyter, activate the configuration to create Neptune experiments and see them all linked to this Notebook. Click **Activate**. In the dialog that appears, click **Activate**. \ No newline at end of file +5. To conclude, to see experiments that you will run associated with this Notebook, click **Activate**. +In the dialog that appears, click **Activate**. + diff --git a/docs/notebooks/installation.rst b/docs/notebooks/installation.rst index 45dc417e..ad558ff9 100644 --- a/docs/notebooks/installation.rst +++ b/docs/notebooks/installation.rst @@ -2,24 +2,29 @@ Installing neptune-notebooks ============================ This page provides instructions for installing neptune-notebooks -- the Neptune Jupyter extension. -The extension integrates between Neptune and Jupyter or JupyterLab. When the extension is successfully installed, +The extension enables the integration of Neptune and Jupyter or JupyterLab. + +When the extension is successfully installed, you will be able to upload notebooks to Neptune, check out previously uploaded Notebooks, and track experiments and metrics directly from the Jupyter UI. Neptune versions the Notebook automatically once an experiment has started. About neptune-notebooks -^^^^^^^^^^^^^^^^^^^^^^^ +----------------------- neptune-notebooks is a Python package hosted `here `_. It includes: - A very basic CLI (command line interface) for uploading notebooks. - Standard Jupyter extension. The extension is written in Javascript and is visible in the web-based Jupyter UI. It is not hosted anywhere separately, only as part of the python package. -- JupyterLab extension. The extension is written in Javascript and is visible in the web-based Jupyter UI. -It is hosted `here `_. +- JupyterLab extension. The extension is written in Javascript and is visible in the web-based Jupyter UI. It is hosted `here `_. + +Installation for Jupyter +------------------------ + +.. tip:: When installing Python packages, it is best practice to work in a `virtual environment `_. -For Jupyter ------------ +Procedure 1. Install `neptune-notebooks extension `_: @@ -40,22 +45,24 @@ For Jupyter pip install neptune-client -For JupyterLab ---------------- +Installation for JupyterLab +--------------------------- JupyterLab is the next-generation web-based UI for Project Jupyter. When you install JupyterLab using ``pip install jupyterlab``, the standard Jupyter is also installed, as a dependency. -Installation methods -^^^^^^^^^^^^^^^^^^^^ +**Installation methods** + You can install the extension using any of the following three methods: - Through the command line (full neptune-notebooks package) - Through the command line (JupyterLab extension only) - Using the Extension Manager (JupyterLab extension only) +Details for these methods follow below. + **Requirements** Irrespective of which method you use, the following must be preinstalled on your system before you begin. @@ -81,7 +88,7 @@ This is the most comprehensive type of installation: **Cons** - After the installation, you still have to perform some manual actions in JupyterLab. -- This method is not the preferred way of installing extensions in JupyterLab. +- This method may not be the easiest way of installing extensions in JupyterLab. **Procedure** @@ -98,6 +105,9 @@ This is the most comprehensive type of installation: jupyter lab 3. In the "Build Recommended" notification that is displayed, click **Build**. + +.. note:: The build process takes up to several minutes. + 4. In the "Build Complete" notification that is displayed, click **Reload**. The extension is loaded. @@ -152,8 +162,8 @@ Method 3: Install the JupyterLab extension only, using the JupyterLab Extension :alt: go to extension manager and search for neptune-notebooks -Checking if installation was successful -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +Checking if the Installation was Successful +------------------------------------------- Provided you have `configured `_ Jupyter correctly, the following Neptune buttons appear in Jupyter notebooks: @@ -164,4 +174,4 @@ Provided you have `configured `_ Jupyter correctly, the foll - **Neptune**: For modifying configuration. - **Upload**: For creating a new checkpoint in Neptune. - **Download**: For downloading a specific checkpoint from Neptune. -- **Activate**: For activating the Python kernel. \ No newline at end of file +- **Activate**: Associates experiments you will be running with this Notebook. \ No newline at end of file diff --git a/docs/notebooks/integrations.rst b/docs/notebooks/integrations.rst index 7e90e8b7..4ea2f4b5 100644 --- a/docs/notebooks/integrations.rst +++ b/docs/notebooks/integrations.rst @@ -1,8 +1,8 @@ Integrations with AWS and SageMaker =================================== -Setting up Neptune-enabled JupyterLab on AWS ---------------------------------------------- +Setting up a Neptune-enabled JupyterLab on AWS +---------------------------------------------- You can run Neptune and track experiments that you run on AWS cloud. @@ -12,16 +12,16 @@ You can run Neptune and track experiments that you run on AWS cloud. 1. Register to AWS. - Follow the `registration instructions `_ from official webpage to create your AWS account. + Follow the `instructions `_ to create your AWS account. 2. Start an EC2 instance. - Start a new EC2 instance. Select `ubuntu` as your instance type and choose a worker type you need. - You can go with `t2.micro` just to test it out. + Select ``ubuntu`` as your instance type and choose the worker type you need. + You can use ``t2.micro`` just to test it out. 3. SSH to your instance. - Connect to your instance by going to the terminal and running: + From the terminal, run: .. code-block:: Bash @@ -31,7 +31,7 @@ You can run Neptune and track experiments that you run on AWS cloud. 4. Install Docker. - a. Create a new file `install_docker.sh`: + a. Create a new file ``install_docker.sh``: .. code-block:: Bash @@ -65,8 +65,9 @@ You can run Neptune and track experiments that you run on AWS cloud. 5. Define your secrets. - Go to Neptune web app, get your ``NEPTUNE_API_TOKEN`` and copy it. Then, create a password for your JupyterLab server. - Set those two secrets to your environment variables ``NEPTUNE_API_TOKEN`` and ``JUPYTERLAB_PASSWORD``, as shown: + a. Go to Neptune, `get your NEPTUNE_API_TOKEN `_ and copy it to the clipboard. + b. Create a password for your JupyterLab server. + c. Set the following two secrets to your environment variables, ``NEPTUNE_API_TOKEN`` and ``JUPYTERLAB_PASSWORD``: .. code-block:: Bash @@ -75,13 +76,13 @@ You can run Neptune and track experiments that you run on AWS cloud. 6. Build the Docker image. - a. Create a new file `Dockerfile`: + a. Create a new file ``Dockerfile``: .. code-block:: Bash nano Dockerfile - b. Copy insights of the following `Dockerfile` to your newly created file: + b. Copy insights of the following Dockerfile to your newly created file: .. code-block:: Docker @@ -89,8 +90,8 @@ You can run Neptune and track experiments that you run on AWS cloud. FROM continuumio/miniconda3 # Installation of jupyterlab and extensions - RUN pip install jupyterlab==0.35.6 && \ - pip install jupyterlab-server==0.2.0 && \ + RUN pip install jupyterlab==1.2.6 && \ + pip install jupyterlab-server==1.0.6 && \ conda install -c conda-forge nodejs # Installation of Neptune and enabling neptune extension @@ -106,15 +107,15 @@ You can run Neptune and track experiments that you run on AWS cloud. ADD . /mnt/workdir WORKDIR /mnt/workdir - If you want to run on a GPU, make sure to change your `Dockerfile` to start from nvidia docker images. + If you want to run on a GPU, make sure to change your Dockerfile to start from Nvidia Docker images. - c. Run following command to build your Docker image: + c. Run the following command to build your Docker image: .. code-block:: Bash sudo docker build -t jupyterlab --build-arg NEPTUNE_API_TOKEN=$NEPTUNE_API_TOKEN . -7. Start the JupyterLab server. Spin up a JupyterLab server with Docker: +7. Spin up a JupyterLab server with Docker: .. code-block:: Bash @@ -148,27 +149,30 @@ You can use Neptune to track experiments that you run on AWS SageMaker. 1. Register to AWS. - Follow the `registration instructions `_ from official website to create your AWS account. + Follow the `instructions `_ to create your AWS account. 2. Create Lifecycle configuration. - Go to SageMaker *Lifecycle configurations* and click *Create configuration*. + a. Go to SageMaker **Lifecycle configurations** and click **Create configuration**. .. image:: ../_static/images/how-to/ht-sagemaker-create_configuration.png :target: ../_static/images/how-to/ht-sagemaker-create_configuration.png :alt: image + | - You can choose whatever name you want just make sure to remember it. + You can choose whatever name you want -- just make sure to remember it. - Now, you should modify the *Create notebook* script to run it only once at the creation of your SageMaker notebook instance. + b. Modify the **Create Notebook** script to run it only once at the creation of your SageMaker Notebook instance. .. image:: ../_static/images/how-to/ht-sagemaker-config_specs.png :target: ../_static/images/how-to/ht-sagemaker-config_specs.png :alt: image + | - Copy and paste the script below to your *Create notebook* tab. - Choose in which environments you want to install *neptune-client* in the *PARAMETERS* section. + c. Copy and paste the script below to your **Create Notebook** tab. + + In the **PARAMETERS** section, choose in which environments you want to install neptune-client. .. code-block:: Bash @@ -200,39 +204,42 @@ You can use Neptune to track experiments that you run on AWS SageMaker. EOF -3. Create a notebook instance. +3. Create a Notebook instance. - Go to SageMaker *Notebook instances* and click on *Create notebook instance*. + a. Go to SageMaker **Notebook instances** and click **Create notebook instance**. .. image:: ../_static/images/how-to/ht-sagemaker-create_instance.png :target: ../_static/images/how-to/ht-sagemaker-create_instance.png :alt: image - - Select an *instance name* and click on *Additional configuration* to add the *Lifecycle configuration* you have just created: + | + + b. Type in an instance name and click **Additional configuration** to add the Lifecycle configuration you have just created. .. image:: ../_static/images/how-to/ht-sagemaker-create_instance_specs.png :target: ../_static/images/how-to/ht-sagemaker-create_instance_specs.png :alt: image - - You can now click *Create notebook instance* instance at the bottom to start your instance. + | + + c. Click **Create notebook instance** at the bottom to start your instance. .. image:: ../_static/images/how-to/ht-sagemaker-create_notebook_run.png :target: ../_static/images/how-to/ht-sagemaker-create_notebook_run.png :alt: image -4. Start notebook. +4. Start Notebook. - If everything went well, your AWS SageMaker instance should be *InService* and you can now open Jupyter Notebook or JupyterLab - with Neptune notebook-versioning enabled! + If everything went well, your AWS SageMaker instance should have *InService* status and you can open a Jupyter Notebook or JupyterLab + with Neptune Notebook versioning enabled. .. image:: ../_static/images/how-to/ht-sagemaker-notebook_run.png :target: ../_static/images/how-to/ht-sagemaker-notebook_run.png :alt: image - You can now version your notebooks and track experiments in Amazon SageMaker with Neptune! + +You can now version your Notebooks and track experiments in Amazon SageMaker with Neptune. - .. image:: ../_static/images/how-to/ht-sagemaker-notebook_runs.png - :target: ../_static/images/how-to/ht-sagemaker-notebook_runs.png + .. image:: ../_static/images/how-to/ht-sagemaker-notebook_runs_01.png + :target: ../_static/images/how-to/ht-sagemaker-notebook_runs_01.png :alt: image \ No newline at end of file diff --git a/docs/notebooks/introduction.rst b/docs/notebooks/introduction.rst index a49d1732..13328105 100644 --- a/docs/notebooks/introduction.rst +++ b/docs/notebooks/introduction.rst @@ -3,7 +3,7 @@ Using Jupyter Notebooks in Neptune .. image:: ../_static/images/others/notebooks_neptuneml.png :target: ../_static/images/others/notebooks_neptuneml.png - :alt: Jupyter notebooks neptune.ai integration + :alt: Jupyter Notebooks neptune.ai integration Jupyter Notebooks are a useful and popular tool for data scientists, regardless of their area of specialization. @@ -15,7 +15,7 @@ you track Jupyter Notebooks. Key Features ------------ -* In Neptune, each Notebook consist of a collection of checkpoints that you upload directly from the Jupyter user interface. +* In Neptune, each Notebook consists of a collection of checkpoints that you upload directly from the Jupyter user interface. * In any project, an unlimited number of Notebooks and checkpoints is allowed. * You can browse checkpoints history across all `Notebooks in the project `_. * You can `share `_ a notebook as a link. @@ -24,10 +24,10 @@ Key Features Quick Start ----------- -To start working with notebooks in Neptune, `install `_ and `configure `_ the open +To start working with Notebooks in Neptune, `install `_ and `configure `_ the open source extension for Jupyter or JupyterLab. When you are done, you can start working with Notebooks immediately. -To try it now, without registering to Neptune, look at the sample notebooks in the public project `onboarding `_. +To try it now, without registering to Neptune, look at the sample Notebooks in the public project `onboarding `_. Use the public user's API token that appears below, and the username *neptuner* to upload some snapshots to this project. You still need to `install `_ and `configure `_ Jupyter extension. @@ -35,7 +35,7 @@ You still need to `install `_ and `configure `_. + +How do I enable the Notebook extension in my Jupyter? +----------------------------------------------------- Enable extension for your Jupyter: .. code-block:: bash jupyter nbextension enable --py neptune-notebooks -I do not know where my notebook was uploaded. How to check it? --------------------------------------------------------------- -#. Click the **n** button in your Jupyter menu. +I do not know where my Notebook was uploaded. How do I check it? +---------------------------------------------------------------- +#. In Jupyter, click **Connect to Neptune**. #. Click **Checkpoint**. #. Bottom drop-down is your current project. @@ -45,20 +48,23 @@ I do not know where my notebook was uploaded. How to check it? Where is *NEPTUNE_API_TOKEN*? ----------------------------- -#. Log in to `neptune `_. -#. Click your avatar (top-right part of the screen) and select **Get API Token** +#. `Log in `_ to Neptune. +#. In the upper right corner of the UI, click the avatar, and then click **Get API Token** to copy the token to the clipboard. .. image:: ../_static/images/notebooks/token.png :target: ../_static/images/notebooks/token.png :alt: image + My integration does not work, but it worked well previously. What do I do? ------------------------------------------------------------------------ -Most likely, you restarted the kernel. Here is a solution: +Most likely, you restarted the kernel. + +If that is the case, the experiments are not associated with the notebook. + +In Jupyter, click **Activate**. -#. Go to configuration (**n** button). -#. Click **Integrate**. -.. image:: ../_static/images/notebooks/integration_01.png - :target: ../_static/images/notebooks/integration_01.png +.. image:: ../_static/images/notebooks/activate_button.png + :target: ../_static/images/notebooks/activate_button.png :alt: image