Metadata-Version: 2.1
Name: fink-anomaly-detection-model
Version: 0.4.1
Summary: Fink anomaly detection model
Author-email: timofei.psheno@gmail.com
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: scikit-learn>=1.3.1
Requires-Dist: numpy>=1.23.5
Requires-Dist: tqdm>=4.65.0
Requires-Dist: onnx>=1.14.0
Requires-Dist: scipy>=1.10.1
Requires-Dist: skl2onnx>=1.15.0
Requires-Dist: pyarrow>=13.0.0
Requires-Dist: coniferest>=0.0.11
Requires-Dist: telethon
Requires-Dist: slack_sdk
Requires-Dist: config
Requires-Dist: configparser

# Fink anomaly detection model
The module is designed to train a model to detect anomalies in photometric data.

**positional arguments:**

  * _dataset_dir_      : Input dir for dataset

**optional arguments:**

  * _-h_, --help       : show this help message and exit
  
  * _--n_jobs N_JOBS_  : Number of threads (default: -1)
