From aecc7a8880d25bb1f05a4f2f8b08cb4b680b0068 Mon Sep 17 00:00:00 2001 From: David Gardner Date: Wed, 6 Nov 2024 12:19:38 -0800 Subject: [PATCH] Remove references to pipeline-ae in docs --- docs/source/getting_started.md | 29 ----------------------------- 1 file changed, 29 deletions(-) diff --git a/docs/source/getting_started.md b/docs/source/getting_started.md index 7e76b38bdc..dcd1469fb8 100644 --- a/docs/source/getting_started.md +++ b/docs/source/getting_started.md @@ -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]...]... - - - -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