winter_rb_models
WINTER real/bogus ML models, originally created by @aswinsuresh
This slimmed-down version uses pytorch rather than tensorflow.
Installing the package
Using pip
pip install winterrb
From source
- Clone the repository
git clone git@github.com:winter-telescope/winterrb.git
- Navigate to the repository
cd winterrb
- Create a conda environment with the required packages
conda create -n winterrb python=3.11
- Activate the environment
conda activate winterrb
- Install the package
pip install -e .
Training a model
You need a data directory, containing a list of training classifications in csv format,
named training_data.csv, and a data containing the corresponding avro alerts used for training.
Specifically, you require a directory within the data directory named train_data containing the avro alerts.
Each avro alert should be named with the format <id>.avro.
You can set the data directory using the bash environment variable WINTERRB_DATA_DIR.
export WINTERRB_DATA_DIR=/path/to/data
Then you can train a model using the notebook winterdrb_pytorch.ipynb.
1 maintainer
Metadata
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Release files for winterrb 2.0.1
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Total release size: 8.0 MB
Release files / winterrb-2.0.1.tar.gz
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