From: rajdeep11 Date: Fri, 4 Oct 2024 10:32:12 +0000 (+0530) Subject: changes in the installation notes. X-Git-Url: https://gerrit.o-ran-sc.org/r/gitweb?a=commitdiff_plain;h=03e4c4072ee783001e3193d590027d17af80a146;p=aiml-fw%2Faimlfw-dep.git changes in the installation notes. Change-Id: I67f00e9c225a6cb71162fc4685b5a7a29a77ddc6 Signed-off-by: rajdeep11 --- diff --git a/docs/installation-guide.rst b/docs/installation-guide.rst index 18e5c5b..959ed90 100755 --- a/docs/installation-guide.rst +++ b/docs/installation-guide.rst @@ -269,7 +269,7 @@ Execute the below script ./prepare_env_aimlfw_access.sh -Add feature group from AIMLFW dashboard, example on how to create a feature group is shown in this demo video: `Feature group creation demo `__ +Add feature group from AIMLFW dashboard, example on how to create a feature group is shown in this demo video: `Feature group creation demo `__ Execute below script to push qoe data into ranpm setup @@ -349,7 +349,7 @@ NOTE: Below are some example values to be used for the DME based feature group c +--------------------+-------------------------------------------------------------------+ -NOTE: Below are some example values to be used for the standalone influx DB creation for qoe usecase +NOTE: Below are some example values to be used for the standalone influx DB creation for qoe usecase. Dme is not used in this example. +--------------------+-------------------------------------------------------------------+ | **Parameter** | **Value** | @@ -410,7 +410,7 @@ Training job creation with DME as data source :ref:`Steps to deploy model using Kserve adapter ` NOTE: Below are some example values to be used for the QoE usecase training job creation when model management service is not used. -**Note** : The QoE training function does not come pre uploaded, we need to go to training function, create training function and run the qoe-pipeline notebook. +NOTE: The QoE training function does not come pre uploaded, we need to go to training function, create training function and run the qoe-pipeline notebook. +--------------------+-------------------------------------------------------------------+ | **Parameter** | **Value** | @@ -456,9 +456,6 @@ NOTE: Below are some example values to be used for the QoE usecase training job | Model name | qoe1 | | | | +--------------------+-------------------------------------------------------------------+ -| FeatureGroup Name | featuregroup1 | -| | | -+--------------------+-------------------------------------------------------------------+ | Datalake Source | Influx DB | | | | +--------------------+-------------------------------------------------------------------+ @@ -483,6 +480,7 @@ Training job creation with standalone Influx DB as data source :ref:`Steps to deploy model using Kserve adapter ` NOTE: Below are some example values to be used for the QoE usecase training job creation when model management service is not used +NOTE: The QoE training function does not come pre uploaded, we need to go to training function, create training function and run the qoe-pipeline notebook. +--------------------+-------------------------+ | **Parameter** | **Value** | @@ -525,7 +523,7 @@ NOTE: Below are some example values to be used for the QoE usecase training job | Model Management | enable | | Service | | +--------------------+-------------------------+ -| Model Name | qoe_pipeline_g_release | +| Model Name | qoe1 | | | | +--------------------+-------------------------+ | Datalake Source | Influx DB |