Python Comparative Analysis for Machine Learning
Project description
pycaML is an easy machine learning model comparison tool with optimization. It allows to generate a table comparing multiple machine learning models, to see which one is best for your data. The unique feature of pycaML is built-in hyperparameters tuning using Bayesian Optimization. It also supports meta-models like Stacking and Voting ensembles. You can setup and optimize 16 models with one line of code.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
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 pycaML-0.0.2-py3-none-any.whl.
File metadata
- Download URL: pycaML-0.0.2-py3-none-any.whl
- Upload date:
- Size: 13.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
438e81688df281b68c37472989ebfdfe2af82dcdebd7d7be86c57d001bf7dac6
|
|
| MD5 |
2fab8faa82e530abd271ae746be8e259
|
|
| BLAKE2b-256 |
f49bacb52afcca860d1230e7343fad063877aa9044f025975d145274cb1e44cb
|
