From f019c0f21986e2c0bb7ab1349d7d873555e99fea Mon Sep 17 00:00:00 2001 From: David McDougall Date: Thu, 30 Sep 2021 08:32:28 -0400 Subject: [PATCH] Update README.txt --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2d7cfc437..a41d2ec5d 100644 --- a/README.md +++ b/README.md @@ -55,7 +55,7 @@ The NAB scores are normalized such that the maximum possible is 100.0 (i.e. the | Perfect | 100.0 | 100.0 | 100.0 | | | | [Numenta HTM](https://github.com/numenta/nupic)* | 70.5-69.7 | 62.6-61.7 | 75.2-74.2 | `numenta` | | | [CAD OSE](https://github.com/smirmik/CAD)† | 69.9 | 67.0 | 73.2 | | | -| [htm.core](https://github.com/htm-community/htm.core/) | 63.1 | 58.8 | 66.2 | `htmcore` | | +| [htm.core](https://github.com/htm-community/htm.core/) | 49.1 | 41.5 | 53.1 | `htmcore` | | | [earthgecko Skyline](https://github.com/earthgecko/skyline) | 58.2 | 46.2 | 63.9 | | | | [KNN CAD](https://github.com/htm-community/NAB/tree/master/nab/detectors/knncad)† | 58.0 | 43.4 | 64.8 | | | | [Relative Entropy](http://www.hpl.hp.com/techreports/2011/HPL-2011-8.pdf) | 54.6 | 47.6 | 58.8 | | | @@ -275,4 +275,4 @@ You can run parameter optimization using your own framework or the framework pro 2. Build a docker image from the Dockerfile provided in this repo with `docker build -t optimize-htmcore-nab:latest . -f htmcore.Dockerfile` 3. Then: + Option A: Check `optimize_bayesopt.py` for an example on how to run with Bayesian Optimization. Note: The script requires `pip install bayesian-optimization`. - + Option B: Check `optimize_swarm.py` for an example on how to run the htm.core optimization framework. You can execute the script using the optimization framework with e.g. `python -m htm.optimization.ae -n 3 --memory_limit 4 -v --swarming 100 optimize_anomaly_swarm.py`. Note for MacOS users: You need to `export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES` before running the script. \ No newline at end of file + + Option B: Check `optimize_swarm.py` for an example on how to run the htm.core optimization framework. You can execute the script using the optimization framework with e.g. `python -m htm.optimization.ae -n 3 --memory_limit 4 -v --swarming 100 optimize_anomaly_swarm.py`. Note for MacOS users: You need to `export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES` before running the script.