Welcome to Transactional Machine Learning (TML) Solution: [cybersecurityprj2-eb48] Documentation!
Generated On: 2024-12-05 16:59:12 UTC
My Solution Title
This is an awesome real-time solution built by TSS
Important
This documentation is auto-generated by the TML Solution Studio (TSS).
Documentation for TML solutions are very important, and should be shared with broader audience.
Contents
- [cybersecurityprj2-eb48] Operating Details
- Github Logs
- TSS Docker Run Command
- TSS Dashboard URL
- TSS Airflow Port
- TSS Log File Dashboard
- Your Solution Docker Container
- Your Solution Docker Run Command
- Your Solution Airflow Port
- Your Solution External Port
- Your Solution Dashboard URL
- Your Solution Log File Dashboard
- [cybersecurityprj2-eb48] Github Repo
- Readthedocs URL
- Solution Trigger DAG
- Your Solution TML Binaries
- Your Solution TMUX Windows
- [cybersecurityprj2-eb48] Details
- TML Solution DAG Parameters' Details: User Chosen Parametets
- STEP 1: Get TML Core Params: tml_system_step_1_getparams_dag
- STEP 2: Create Kafka Topics: tml_system_step_2_kafka_createtopic_dag
- STEP 3: Produce to Kafka Topics
- STEP 4: Preprocesing Data: tml-system-step-4-kafka-preprocess-dag
- STEP 4b: Preprocesing Data: tml-system-step-4b-kafka-preprocess-dag
- STEP 5: Entity Based Machine Learning : tml-system-step-5-kafka-machine-learning-dag
- STEP 6: Entity Based Predictions: tml-system-step-6-kafka-predictions-dag
- STEP 7: Real-Time Visualization: tml-system-step-7-kafka-visualization-dag
- STEP 8: tml_system_step_8_deploy_solution_to_docker_dag
- STEP 9: tml_system_step_9_privategpt_qdrant_dag
- STEP 10: tml_system_step_10_documentation_dag
- TML Solution DAG Parameters' Details: User Chosen Parametets
- Transactional Machine Learning Solution Studio (TSS) Usage
- Scaling [--solutionname--] With Kubernetes
- Latest Logs From Latest Build