Fink anomaly detection model
Project description
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)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file fink_anomaly_detection_model-0.4.6.tar.gz.
File metadata
- Download URL: fink_anomaly_detection_model-0.4.6.tar.gz
- Upload date:
- Size: 6.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ebfe1a7c88cfddd211bfa6c6d713b48362d270efbf23bafd146c3cbdce4ce2b7 |
|
| MD5 | 5395229d94fb422097872895c219e4f1 |
|
| BLAKE2b-256 | 67a873c5296c2d5b1c7df33a87c20edc9c90b0109725aecf551f360d21016f73 |
File details
Details for the file fink_anomaly_detection_model-0.4.6-py3-none-any.whl.
File metadata
- Download URL: fink_anomaly_detection_model-0.4.6-py3-none-any.whl
- Upload date:
- Size: 7.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7299dd8d71732f93114c5ca1ae18c398b6afd0770a365eacba7fc76b9ee64c50 |
|
| MD5 | a5792c876f98c9cde7c76f368ec2133e |
|
| BLAKE2b-256 | 554dbb05940768b082e31c85b0d0ab2c6bd706961f1746d2b80e21270e36a712 |
