Legendarium is a simple package to store metrics and parameters of an experiment
Project description
Legendarium
- Python library to make an efficient use of data
- License: MIT
- Compatible With: python 3.0+
Develop API Usage
>>>from sylegendarium import Legendarium
>>>data_saver = Legendarium(experiment_name=f'experiment', experiment_description='tutorial experiment', path='Experiments')
>>>data_saver.create_parameter("algorithm", "Greedy")
>>>data_saver.create_metric("rewards", list, "Rewards obtained by the agents", "points")
>>>data_saver.write(rewards=0)
>>>data_saver.save()
>>>from sylegendarium import load_experiment_pd, load_experiments
>>>df = load_experiments("Experiments") #Load all the experiments in a directory and return a pandas dataframe
>>>print(df.head())
>>>df = load_experiment_pd('experiment', 'Experiments') # Load the metrics as a pandas dataframe
>>>print(df.head())
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sylegendarium-0.0.2.tar.gz
(21.6 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sylegendarium-0.0.2.tar.gz.
File metadata
- Download URL: sylegendarium-0.0.2.tar.gz
- Upload date:
- Size: 21.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9e6fd86e1e5a7e3523ff73cd6343b87b40247f5728b4d88ea87d785e4587f3ca
|
|
| MD5 |
0e2b6a346f42b0a7248a0868e8f235d3
|
|
| BLAKE2b-256 |
bc8a17a49c6862a8fab79839f21d18daece56e427286069ada10ba162b1feeeb
|
File details
Details for the file sylegendarium-0.0.2-py2.py3-none-any.whl.
File metadata
- Download URL: sylegendarium-0.0.2-py2.py3-none-any.whl
- Upload date:
- Size: 4.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
54c1238cb1f16a268f0d317dfa21e268ad403e95d117cc09e59e83809e168bda
|
|
| MD5 |
35cc191e4674aaecf5621eb1e1dee21c
|
|
| BLAKE2b-256 |
bd2df95aa38d297476512374e1d15279a33ba80666525710a48bb47b7d234784
|