What is Shogun and how to install in python? Explain it's use.

This recipe explains what is Shogun and how to install it in python. It also explains the use of Shogun.

Recipe Objective

This recipe explains how to install and use shogun in python.
For more related projects-
Project 1
Project 2

Access Deep Learning Project to Build a Similar Images Finder in Python

(1) For Mac Os

(a) Download the MacPorts appropriate for your system version.
(b) Open the Mac OS Terminal.
(c) Run the given commands.

# For Mac OS

sudo port selfupdate
sudo port install octave
sudo port install swig -php5 -ruby -perl +python +octave
sudo port install shogun +octave

(2) For Windows

(a) Download the Shogun source.
(b) Move the downloaded file to drive C from your download location.
(c) Open your bash shell.
(d) Run the given commands.

# For Windows

tar -xvjf shogun*bz2
cd shogun*/src
./configure
make
make DESTDIR= install

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

Image Classification Model using Transfer Learning in PyTorch
In this PyTorch Project, you will build an image classification model in PyTorch using the ResNet pre-trained model.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Build CNN for Image Colorization using Deep Transfer Learning
Image Processing Project -Train a model for colorization to make grayscale images colorful using convolutional autoencoders.

NLP Project for Beginners on Text Processing and Classification
This Project Explains the Basic Text Preprocessing and How to Build a Classification Model in Python

End-to-End ML Model Monitoring using Airflow and Docker
In this MLOps Project, you will learn to build an end to end pipeline to monitor any changes in the predictive power of model or degradation of data.

Learn How to Build a Linear Regression Model in PyTorch
In this Machine Learning Project, you will learn how to build a simple linear regression model in PyTorch to predict the number of days subscribed.

MLOps AWS Project on Topic Modeling using Gunicorn Flask
In this project we will see the end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable machine learning models by using AWS

Build Regression Models in Python for House Price Prediction
In this Machine Learning Regression project, you will build and evaluate various regression models in Python for house price prediction.

Detectron2 Object Detection and Segmentation Example Python
Object Detection using Detectron2 - Build a Dectectron2 model to detect the zones and inhibitions in antibiogram images.

Deep Learning Project- Real-Time Fruit Detection using YOLOv4
In this deep learning project, you will learn to build an accurate, fast, and reliable real-time fruit detection system using the YOLOv4 object detection model for robotic harvesting platforms.