Enterprise-Grade AutoML + AutoDL SDK
Project description
evoMdl — Enterprise-Grade Vision
A Plug-and-Play AutoML + AutoDL SDK
Where users don’t need ML knowledge at all.
Quick Start
from evomdl import Classifier
model = Classifier()
model.fit("data.csv", target="label")
preds = model.predict("new_data.csv")
model.save("model.evo")
Features
- Auto Preprocessing: Cleaning, encoding, scaling.
- Auto Model Selection: Chooses between XGBoost, Random Forest, etc.
- Auto DL: Built-in support for Image and NLP tasks.
- Enterprise Ready: Logging, versioning, and reproducibility.
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
evomdl-0.1.0.tar.gz
(9.8 kB
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
evomdl-0.1.0-py3-none-any.whl
(13.3 kB
view details)
File details
Details for the file evomdl-0.1.0.tar.gz.
File metadata
- Download URL: evomdl-0.1.0.tar.gz
- Upload date:
- Size: 9.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8c3287889bbf6d47664dc3f42c38a3404d1c4c75b17883ea34b8348bfcb45d19
|
|
| MD5 |
303bb462c499800a3e04afb4a415eb55
|
|
| BLAKE2b-256 |
84a7277e3b0b9f15fcb6b61e4b36b18dec33e3c0a215cdc1d483bed24ebe668a
|
File details
Details for the file evomdl-0.1.0-py3-none-any.whl.
File metadata
- Download URL: evomdl-0.1.0-py3-none-any.whl
- Upload date:
- Size: 13.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b74b9aec24ffd86a6760212d127e91d771dc5ccb22c79562e0c415ee94955228
|
|
| MD5 |
1b8be420c4f19cebdd702ad727efeeed
|
|
| BLAKE2b-256 |
4e4fee651728326d4a83a6c423523fa27e6cad42878e129098cbc3fcf8279168
|