Jupyter
- Notebook Charmers | bundle
- Ai Ml
Channel | Revision | Published |
---|---|---|
latest/stable | 13 | 01 Jul 2021 |
latest/candidate | 13 | 01 Jul 2021 |
latest/beta | 13 | 01 Jul 2021 |
latest/edge | 16 | 09 Aug 2021 |
juju deploy jupyter
Deploy Kubernetes operators easily with Juju, the Universal Operator Lifecycle Manager. Need a Kubernetes cluster? Install MicroK8s to create a full CNCF-certified Kubernetes system in under 60 seconds.
Platform:
-
affinity-options | string
Default: []
The Affinity configurations that are selectable by users in the New Notebook UI when creating a Notebook. Input is in JSON/YAML in the format defined by Kubeflow in: https://github.com/kubeflow/kubeflow/blob/master/components/crud-web-apps/jupyter/manifests/base/configs/spawner_ui_config.yaml Each item in the list should have keys: - configKey: an arbitrary key for the configuration - displayName: the name to be shown in the UI - affinity: the affinity configuration, as defined by Kubernetes: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
-
affinity-options-default | string
The Affinity options that is selected by default in the New Notebook UI when creating a Notebook. This must be one of the configKey values from the affinity-options config. Leave as an empty string to select no affinity by default
-
backend-mode | string
Default: production
Which mode out of `development` or `production` the backend server should use
-
default-poddefaults | string
Default: ["access-ml-pipeline"]
The PodDefaults that are selected by default in the New Notebook UI when creating a new Notebook. Inputs is a JSON/YAML list of the names of the PodDefaults. The New Notebook UI will always show all PodDefaults available to the user - this only defines which PodDefaults are selected by default.
-
gpu-number-default | int
The number of GPUs that are selected by default in the New Notebook UI when creating a Notebook.
-
gpu-vendors | string
Default: [{"limitsKey": "nvidia.com/gpu", "uiName": "NVIDIA"}, {"limitsKey": "amd.com/gpu", "uiName": "AMD"}]
The GPU vendors that are selectable by users in the New Notebook UI when creating a Notebook. Input is in JSON/YAML in the format defined by Kubeflow in: https://github.com/kubeflow/kubeflow/blob/master/components/crud-web-apps/jupyter/manifests/base/configs/spawner_ui_config.yaml Each item in the list should have keys: - limitsKey: the key that corresponds to the GPU vendor resource in Kubernetes - uiName: the name to be shown in the UI
-
gpu-vendors-default | string
The GPU vendor that is selected by default in the New Notebook UI when creating a Notebook. This must be one of the limitsKey values from the gpu-vendors config. Leave as an empty string to select no GPU vendor by default
-
jupyter-images | string
Default: - kubeflownotebookswg/jupyter-scipy:v1.9.0 - kubeflownotebookswg/jupyter-pytorch-full:v1.9.0 - kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.9.0 - kubeflownotebookswg/jupyter-tensorflow-full:v1.9.0 - kubeflownotebookswg/jupyter-tensorflow-cuda-full:v1.9.0
list of image options for Jupyter Notebook
-
port | int
Default: 5000
HTTP port
-
rstudio-images | string
Default: - kubeflownotebookswg/rstudio-tidyverse:v1.9.0
list of image options for RStudio
-
secure-cookies | boolean
Whether cookies should require HTTPS
-
tolerations-options | string
Default: []
The Toleration configurations that are selectable by users in the New Notebook UI when creating a Notebook. Input is in JSON/YAML in the format defined by Kubeflow in: https://github.com/kubeflow/kubeflow/blob/master/components/crud-web-apps/jupyter/manifests/base/configs/spawner_ui_config.yaml Each item in the list should have keys: - groupKey: an arbitrary key for the configuration - displayName: the name to be shown in the UI - tolerations: a list of Kubernetes tolerations, as defined in: https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/
-
tolerations-options-default | string
The Tolerations configuration that is selected by default in the New Notebook UI when creating a Notebook. This must be one of the groupKey values from the tolerations-options config. Leave as an empty string to select no tolerations configuration by default
-
ui | string
Default: default
Which UI to use
-
url-prefix | string
Default: /jupyter
URL prefix for HTTP requests
-
vscode-images | string
Default: - kubeflownotebookswg/codeserver-python:v1.9.0
list of image options for VSCode