AutoML
AutoML is a lightweight AutoML library to automatically choose the best algorithm for your dataset.
Features
- Supports classification and regression
- Auto model selection
- Performance graphs
Usage
from automl import AutoML
model = AutoML(df, target='target_column')
model.run()
Data Cleaning
from automl.preprocessing import DataCleaner
cleaner = DataCleaner()
df_cleaned = cleaner.clean(df)
Install
pip install -r requirements.txt
1 maintainer
Metadata
1 maintainer
Release files for mlsherpa 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlsherpa-0.1.1.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlsherpa-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.5 kB
Release files / mlsherpa-0.1.1.tar.gz
| Download URL | mlsherpa-0.1.1.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Release files / mlsherpa-0.1.1-py3-none-any.whl
| Download URL | mlsherpa-0.1.1-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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