Skip to main content

models class for quick Anomaly Detection

Project description

AnomalyDetectionModel

AnomalyDetectionModels

License: MIT

Overview

AnomalyDetectionModel is a python library that includs some simple implementation of an anomaly detection model.
For more details, please refer to the document page:
Document
pypi page link is here:(https://pypi.org/project/quick-anomaly-detector/)

Quick Start

Installation

You can install Anomaly Detection Model using pip:

pip install quick-anomaly-detector

Quick Start:

from quick_anomaly_detector.models import AnomalyGaussianModel


# Load your datasets (X_train, X_val, y_val)
model = AnomalyGaussianModel()

# Train the model
model.train(X_train, X_val, y_val)

# Predict anomalies in the validation dataset
anomalies = model.predict(X_val)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quick-anomaly-detector-0.3.5.tar.gz (18.6 kB view hashes)

Uploaded Source

Built Distribution

quick_anomaly_detector-0.3.5-py3-none-any.whl (19.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page