File size: 1,360 Bytes
128403f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
.. AIM-CU documentation master file, created by sphinx-quickstart on Wed Nov 27 09:59:49 2024. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. AIM-CU documentation ==================== A CUSUM-based tool for AI Monitoring AIM-CU is a statistical tool for AI monitoring using cumulative sum (AIM-CU). AIM-CU computes: * The parameter choices for change-point detection based on an acceptable false alarm rate * Detection delay estimates for a given displacement of the performance metric from the target for those parameter choices. Code execution ------------------ Clone AIM-CU repository. .. code-block:: shell git clone https://github.com/DIDSR/AIM-CU.git Run the following commands to install required dependencies (Python = 3.10 is used). .. code-block:: shell apt-get -y install python3 apt-get -y install pip cd AIM-CU pip install -r requirements.txt Run AIM-CU. .. code-block:: shell python3 app.py Open the URL http://0.0.0.0:7860 that is running the AIM-CU locally. Demo ------------------ AIM-CU can also be run through the demo available at https://huggingface.co/spaces/didsr/AIM-CU. If Space is paused, click on Restart button. .. toctree:: :maxdepth: 2 :caption: Contents: ref_method ref_cusum ref_theoretical ref_utils |