Useful helpers, callbacks and more for experimenting with ml models
Project description
ML Experiment Goodies
Helpers, handlers, callbacks and more that are nice to have when experimenting with ml models
Setup
The most basic functionalities of this library is included in the base installation, which you have by running any of the commands below
pip install experiment-goodies
poetry add experiment-goodies
Geospatial utilities require some big packages, like rasterio and rio-cogeo. They are included inside the geo
extra which you can install with one of the commands shown below.
pip install experiment-goodies[geo]
poetry add experiment-goodies -E geo
Development
To develop in this repo, you will need to install some extra dependencies and make some additional configurations. Start by installing dev dependencies:
poetry install --group dev
Some tests depend on data managed by dvc, so you should pull files associated to this repo. Remote storage is configured to S3, so you should ensure you have the correct AWS credentials loaded in your system.
dvc pull
Project details
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 experiment_goodies-0.1.4.tar.gz
.
File metadata
- Download URL: experiment_goodies-0.1.4.tar.gz
- Upload date:
- Size: 9.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.10.12 Linux/6.5.0-26-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 89e756356b7cf6795e1f7bb197dc0376750fc92ea45c1da3df504c654d771d01 |
|
MD5 | 19fbaf4dcce87b25cc77206bbf69718e |
|
BLAKE2b-256 | a12cac9f5a86874a31b283fa38b8eb232877c4eef70301868b07f79580031226 |
File details
Details for the file experiment_goodies-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: experiment_goodies-0.1.4-py3-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.10.12 Linux/6.5.0-26-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | afcba756115991bf386d20319d4f5a24633ac9fb8ef54666b3ba88686cf4ab43 |
|
MD5 | 4e8575a9014f80d100ea43445e06aca5 |
|
BLAKE2b-256 | e3dd8acceb1eef9ab30f1714a261fa524b3058762d05415571f465592e8991e7 |