What is the logcombine function in Sympy

This recipe explains what is the logcombine function in Sympy

Recipe Objective - What is the logcombine function in Sympy?

The logcombine function takes logarithms and combines them according to the following rules:

1. log (p) + log (q) = log (p * q) if both are positive
2. r * log (p) = log (p ** r) if p is positive and r is real

For more related projects -

https://www.projectpro.io/projects/data-science-projects/tensorflow-projects
https://www.projectpro.io/projects/data-science-projects/keras-deep-learning-projects

Example:

# Example 1:

# Importing libraries
from sympy import logcombine,pprint, log
from sympy.abc import p,q

# Defining some expression
expression=(log(p)+log(q))

# Printing expression
pprint(expression)

# logcombine function
logcombine(expression, force=True)

Output - 
log(p) + log(q)
log(𝑝𝑞)

# Example 2:

# Importing libraries
from sympy import logcombine,pprint, log
from sympy.abc import p,q,r

# Defining some expression
expression=(r*log(p)+log(q))

# Printing expression
pprint(expression)

# logcombine function
pprint(logcombine(expression, force=True))

Output - 
r⋅log(p) + log(q)

     r  
log(p .q)

In this way, we can use the logcombine function in sympy.

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Topic modelling using Kmeans clustering to group customer reviews
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

MLOps Project to Deploy Resume Parser Model on Paperspace
In this MLOps project, you will learn how to deploy a Resume Parser Streamlit Application on Paperspace Private Cloud.

Learn to Build an End-to-End Machine Learning Pipeline - Part 2
In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, incorporating Hopsworks' feature store and Weights and Biases for model experimentation.

Recommender System Machine Learning Project for Beginners-4
Collaborative Filtering Recommender System Project - Comparison of different model based and memory based methods to build recommendation system using collaborative filtering.

Credit Card Default Prediction using Machine learning techniques
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Model Deployment on GCP using Streamlit for Resume Parsing
Perform model deployment on GCP for resume parsing model using Streamlit App.

Build a Hybrid Recommender System in Python using LightFM
In this Recommender System project, you will build a hybrid recommender system in Python using LightFM .

Azure Deep Learning-Deploy RNN CNN models for TimeSeries
In this Azure MLOps Project, you will learn to perform docker-based deployment of RNN and CNN Models for Time Series Forecasting on Azure Cloud.

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.

OpenCV Project for Beginners to Learn Computer Vision Basics
In this OpenCV project, you will learn computer vision basics and the fundamentals of OpenCV library using Python.