Metadata-Version: 2.4
Name: motorfaultsvm
Version: 2.0.2
Summary: A Machine Learning library for Motor Fault Detection using Support Vector Machine (SVM)
Author: Abdul Rafeul Mallick
Author-email: Abdul Rafeul Mallick <arafeul97@gmail.com>
Maintainer-email: Abdul Rafeul Mallick <arafeul97@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/Rafeul1997/MotorFaultSVM
Project-URL: Repository, https://github.com/Rafeul1997/MotorFaultSVM
Project-URL: Documentation, https://github.com/Rafeul1997/MotorFaultSVM#readme
Project-URL: Issues, https://github.com/Rafeul1997/MotorFaultSVM/issues
Keywords: machine-learning,svm,motor-fault,fault-detection,predictive-maintenance,industrial-ai,python-ml
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Dynamic: author
Dynamic: license-file

# \# MotorFaultSVM

# 

# MotorFaultSVM is a machine learning library for motor fault detection using Support Vector Machine (SVM). It is designed for predictive maintenance applications in industrial systems where early fault detection improves reliability and reduces downtime.

# 

# \---

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# \## Overview

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# MotorFaultSVM provides a trained SVM-based classification model for detecting motor faults using sensor input data. It is intended for use in industrial monitoring systems, research applications, and machine learning prototypes.

# 

# \---

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# \## Installation

# 

# ```bash

# pip install motorfaultsvm

