maadsdocker/maads-batch-automl-otics repository overview

Here is the Docker Run command: Note you will need to mount local volumes to the container volume. For example create local folder on your for csvuploads: {local folder path}/csvuploads would be /maadsbml/csvuploads

Sample Code can be found here: https://github.com/smaurice101/raspberrypi/blob/main/maadsbml⁠

docker run -d -v {YOUR LOCAL FOLDER PATH}/csvuploads:/maads/agentfilesdocker/dist/maadsweb/csvuploads:z
-v {YOUR LOCAL FOLDER PATH}/pdfreports:/maads/agentfilesdocker/dist/maadsweb/pdfreports:z
-v {YOUR LOCAL FOLDER PATH}/autofeatures:/maads/agentfilesdocker/dist/maadsweb/autofeatures:z
-v {YOUR LOCAL FOLDER PATH}/outliers:/maads/agentfilesdocker/dist/maadsweb/outliers:z
-v {YOUR LOCAL FOLDER PATH}/sqlloads:/maads/agentfilesdocker/dist/maadsweb/sqlloads:z
-v {YOUR LOCAL FOLDER PATH}/networktemp:/maads/agentfilesdocker/dist/maadsweb/networktemp:z
-v {YOUR LOCAL FOLDER PATH}/networks:/maads/agentfilesdocker/networks:z
-v {YOUR LOCAL FOLDER PATH}/exception:/maads/agentfilesdocker/dist/maadsweb/exception:z
-v {YOUR LOCAL FOLDER PATH}/staging:/maads/agentfilesdocker/dist/staging:z
-p 5595:5595 -p 5495:5495 -p 10000:10000 --env TRAININGPORT=5595 --env PREDICTIONPORT=5495 --env ABORTPORT=10000 --env COMPANYNAME=OTICS --env MAXRUNTIME=120 --env ACCEL=0 --env MAINHOST=127.0.0.1 maadsdocker/maads-batch-automl-otics