Skip to content

Commit

Permalink
Remove references to pipeline-ae in docs (#2063)
Browse files Browse the repository at this point in the history
Closes #2046

## By Submitting this PR I confirm:
- I am familiar with the [Contributing Guidelines](https://github.com/nv-morpheus/Morpheus/blob/main/docs/source/developer_guide/contributing.md).
- When the PR is ready for review, new or existing tests cover these changes.
- When the PR is ready for review, the documentation is up to date with these changes.

Authors:
  - David Gardner (https://github.com/dagardner-nv)

Approvers:
  - Michael Demoret (https://github.com/mdemoret-nv)

URL: #2063
  • Loading branch information
dagardner-nv authored Nov 21, 2024
1 parent f0ffc07 commit 97dc7a6
Showing 1 changed file with 0 additions and 29 deletions.
29 changes: 0 additions & 29 deletions docs/source/getting_started.md
Original file line number Diff line number Diff line change
Expand Up @@ -376,35 +376,6 @@ Commands:
validate Validate pipeline output for testing.
```
And for the AE pipeline:
```
$ morpheus run pipeline-ae --help
Usage: morpheus run pipeline-ae [OPTIONS] COMMAND1 [ARGS]... [COMMAND2 [ARGS]...]...
<Help Paragraph Omitted>
Commands:
add-class Add detected classifications to each message.
add-scores Add probability scores to each message.
buffer (Deprecated) Buffer results.
delay (Deprecated) Delay results for a certain duration.
filter Filter message by a classification threshold.
from-azure Source stage is used to load Azure Active Directory messages.
from-cloudtrail Load messages from a CloudTrail directory.
from-duo Source stage is used to load Duo Authentication messages.
inf-pytorch Perform inference with PyTorch.
inf-triton Perform inference with Triton Inference Server.
monitor Display throughput numbers at a specific point in the pipeline.
preprocess Prepare Autoencoder input DataFrames for inference.
serialize Includes & excludes columns from messages.
timeseries Perform time series anomaly detection and add prediction.
to-file Write all messages to a file.
to-kafka Write all messages to a Kafka cluster.
train-ae Train an Autoencoder model on incoming data.
trigger Buffer data until the previous stage has completed.
validate Validate pipeline output for testing.
```
> **Note**: The available commands for different types of pipelines are not the same. This means that the same stage may have different options when used in different pipelines. Check the CLI help for the most up-to-date information during development.
## Next Steps
Expand Down

0 comments on commit 97dc7a6

Please sign in to comment.