# Auto Machine Learning Models
## Overview auto-ml-models is a Python package to find best machine learning model built Based on scikit-learn, catboost and xgboost.
## Features ### This project include 9 models: * KNN * Linear * SVM * DecisionTree * RandomForest * GBoost * AdaBoost * XGBoost * CatBoost
### This project include 6 scores: * Accuracy * Precision * Recall * F1 * MAE * MSE
## Installation
Install the package
` pip install auto-ml-models `
## Usage
` pip install auto-ml-models `
Metadata
Release files for auto-ml-models 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| auto_ml_models-0.1.0.tar.gz | 3.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_ml_models-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / auto_ml_models-0.1.0.tar.gz
| Download URL | auto_ml_models-0.1.0.tar.gz |
|---|---|
| Size | 3.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.9.19
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Release files / auto_ml_models-0.1.0-py3-none-any.whl
| Download URL | auto_ml_models-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.9.19
|