mirror of https://github.com/kubeflow/website.git
Resolved typos (#665)
This commit is contained in:
parent
3409d72299
commit
44f20b50d3
|
|
@ -7,7 +7,7 @@ We use [Hugo](https://gohugo.io/) to format and generate our website, the
|
|||
[Docsy](https://github.com/google/docsy) theme for styling and site structure,
|
||||
and [Netlify](https://www.netlify.com/) to manage the deployment of the site.
|
||||
Hugo is an open-source static site generator that provides us with templates,
|
||||
content organisation in a standard directory structure, and a website generation
|
||||
content organization in a standard directory structure, and a website generation
|
||||
engine. You write the pages in Markdown, and Hugo wraps them up into a website.
|
||||
|
||||
## Quickstart
|
||||
|
|
|
|||
|
|
@ -72,7 +72,7 @@ title = "Kubeflow"
|
|||
|
||||
<div class="lead">
|
||||
<div class="image left">
|
||||
<object type="image/svg+xml" data="multi-framework.svg" alt="Multi Framerwork">
|
||||
<object type="image/svg+xml" data="multi-framework.svg" alt="Multi-framework">
|
||||
</object>
|
||||
</div>
|
||||
<div class="text">
|
||||
|
|
|
|||
|
|
@ -67,7 +67,7 @@ When you are ready to join
|
|||
### Companies/organizations
|
||||
|
||||
If you would like your company or organization to be acknowledged for contributing to
|
||||
Kubeflow or participatng in the community (being a user counts) please send a PR
|
||||
Kubeflow or participating in the community (being a user counts) please send a PR
|
||||
adding the relevant info to
|
||||
[member_organizations.yaml](https://github.com/kubeflow/community/blob/master/member_organizations.yaml).
|
||||
|
||||
|
|
|
|||
|
|
@ -57,7 +57,7 @@ To use S3, generate a different prototype
|
|||
ks generate tf-serving-deployment-aws ${MODEL_COMPONENT} --name=${MODEL_NAME}
|
||||
```
|
||||
|
||||
First you need to create secret that will contain access credentials. Use base64 to encode your credentials and check deails in the Kubernetes guide to [creating a secret manually](https://kubernetes.io/docs/concepts/configuration/secret/#creating-a-secret-manually)
|
||||
First you need to create secret that will contain access credentials. Use base64 to encode your credentials and check details in the Kubernetes guide to [creating a secret manually](https://kubernetes.io/docs/concepts/configuration/secret/#creating-a-secret-manually)
|
||||
```
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
|
|
|
|||
|
|
@ -509,7 +509,7 @@ A TFJob has a TFJobStatus, which has an array of TFJobConditions through which t
|
|||
* The **lastUpdateTime** field provides the last time this condition was updated.
|
||||
* The **lastTransitionTime** field provides the last time the condition transitioned from one status to another.
|
||||
* The **message** field is a human readable message indicating details about the transition.
|
||||
* The **reason** field is a unique, one-word, CamelCase reson for the condition's
|
||||
* The **reason** field is a unique, one-word, CamelCase reason for the condition's
|
||||
last transition.
|
||||
* The **status** field is a string with possible values "True", "False", and "Unknown".
|
||||
* The **type** field is a string with the following possible values:
|
||||
|
|
|
|||
|
|
@ -39,7 +39,7 @@ model using TensorFlow.
|
|||
|
||||
{{% blocks/content-item title="Object detection - cats and dogs"
|
||||
url="https://github.com/kubeflow/examples/tree/master/object_detection" %}}
|
||||
Train a distribued model for recognizing breeds of cats and
|
||||
Train a distributed model for recognizing breeds of cats and
|
||||
dogs with the TensorFlow Object Detection API. Serve the model using TensorFlow.
|
||||
{{% /blocks/content-item %}}
|
||||
|
||||
|
|
|
|||
|
|
@ -185,7 +185,7 @@ privilege. The three service accounts are:
|
|||
|
||||
* Run a full ML workflow on Kubeflow, using the
|
||||
[end-to-end MNIST tutorial](/docs/gke/gcp-e2e/) or the
|
||||
[GitHub issue sumarization
|
||||
[GitHub issue summarization
|
||||
example](https://github.com/kubeflow/examples/tree/master/github_issue_summarization).
|
||||
* See how to [delete](/docs/gke/deploy/delete-cli) your Kubeflow deployment
|
||||
using the CLI.
|
||||
|
|
|
|||
|
|
@ -40,7 +40,7 @@ takes longer than expected, try accessing the above URI anyway.
|
|||
|
||||
* Run a full ML workflow on Kubeflow, using the
|
||||
[end-to-end MNIST tutorial](/docs/gke/gcp-e2e/) or the
|
||||
[GitHub issue sumarization
|
||||
[GitHub issue summarization
|
||||
example](https://github.com/kubeflow/examples/tree/master/github_issue_summarization).
|
||||
* See how to delete your Kubeflow deployment using the
|
||||
[CLI](/docs/gke/deploy/delete-cli)
|
||||
|
|
|
|||
|
|
@ -188,9 +188,9 @@ While it requires some effort, the end result is well worth it
|
|||
https://${FQDN}
|
||||
```
|
||||
|
||||
* If you get SSL errors this typically means your SSL certificate is still propogating wait a bit and try again
|
||||
* If you get SSL errors this typically means your SSL certificate is still propagating wait a bit and try again
|
||||
|
||||
* SSL propogation could take up to 10 minutes
|
||||
* SSL propagation could take up to 10 minutes
|
||||
|
||||
* If you are not asked to login and you get a 404 error that means IAP is still being configured
|
||||
|
||||
|
|
|
|||
|
|
@ -6,7 +6,7 @@ weight = 7
|
|||
|
||||
* Run a full ML workflow on Kubeflow, using the
|
||||
[end-to-end MNIST tutorial](/docs/gke/gcp-e2e/) or the
|
||||
[GitHub issue sumarization
|
||||
[GitHub issue summarization
|
||||
example](https://github.com/kubeflow/examples/tree/master/github_issue_summarization).
|
||||
* See how to [customize](/docs/gke/customizing-gke) your Kubeflow
|
||||
deployment on GKE.
|
||||
|
|
|
|||
|
|
@ -343,7 +343,7 @@ for available zones and cpu platforms.
|
|||
|
||||
## Changing the OAuth client used by IAP
|
||||
|
||||
If you need to change the OAuth client used by IAP you can runn the following commands
|
||||
If you need to change the OAuth client used by IAP you can run the following commands
|
||||
to replace the K8s secret containing the id and secret.
|
||||
|
||||
```
|
||||
|
|
|
|||
|
|
@ -25,10 +25,10 @@ Deploy the environment
|
|||
ks apply cloud
|
||||
```
|
||||
|
||||
Start Juptyer
|
||||
Start Jupyter
|
||||
You should see your NFS volumes mounted as `/mnt/${DISK_NAME}`
|
||||
|
||||
In a Juptyer cell you can run
|
||||
In a Jupyter cell you can run
|
||||
|
||||
```
|
||||
!df
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ The MySQL database and the Minio server are both backed by the Kubernetes
|
|||
creates a Compute Engine
|
||||
[Persistent Disk](https://cloud.google.com/persistent-disk/) (PD)
|
||||
and mounts it as a PV.
|
||||
* If you are not deploying to GCP, you can specify your own prefered PV.
|
||||
* If you are not deploying to GCP, you can specify your own preferred PV.
|
||||
|
||||
## Deploying Kubeflow
|
||||
|
||||
|
|
|
|||
|
|
@ -9,7 +9,7 @@ cluster.
|
|||
|
||||
If you are using a Kubernetes distribution or Cloud Provider which has specific
|
||||
instructions for installing Kubeflow we recommend following those instructions.
|
||||
Those instuctions do additional Cloud specific setup to create a really great
|
||||
Those instructions do additional Cloud specific setup to create a really great
|
||||
Kubeflow experience.
|
||||
|
||||
Before installing Kubeflow on the command line:
|
||||
|
|
|
|||
Loading…
Reference in New Issue