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Home
Python 3
Saving the Trained Model

Saving the Trained Model

Import Joblib
Save the Model
Save the TF-IDF Vectorizer
Load the Saved Model
Predict Using the Loaded Model

Saving the Trained Model

Once the model has been trained, it can be saved and reused without retraining. This is especially useful when deploying the model in a web application or API.

We will use the joblib library to save both the trained Logistic Regression model and the TF-IDF vectorizer.

Import Joblib

import joblib

Save the Model

joblib.dump(model, "fake_review_detector.pkl")

Save the TF-IDF Vectorizer

joblib.dump(tfidf, "tfidf_vectorizer.pkl")

Load the Saved Model

loaded_model = joblib.load("fake_review_detector.pkl")

loaded_vectorizer = joblib.load("tfidf_vectorizer.pkl")

Predict Using the Loaded Model

sample = "Excellent product with fast delivery."

sample = clean_text(sample)

sample = remove_stopwords(sample)

sample = lemmatize_text(sample)

sample_vector = loaded_vectorizer.transform([sample])

prediction = loaded_model.predict(sample_vector)

print(prediction)

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Saving the Trained Model

Contents

Saving the Trained Model

Import Joblib

Save the Model

Save the TF-IDF Vectorizer

Load the Saved Model

Predict Using the Loaded Model

Fake Review Detection System using Machine Learning

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Java Tutorial

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Linux Guide Tutorial

Data Structures and Algorithms Tutorial

Computer Architecture

HTML 5 References Tutorial

Docker Tutorial

GIT (Using Github) Tutorial

Go Language Tutorial

GIT Guide

CSS Tutorial

Advanced Data Structures

Spring Framework Tutorial

Spring Boot Tutorial

Kotlin Tutorial

Apache Cordova Tutorial

Python Tutorial

SASS-SCSS Tutorial

MongoDB Tutorial

Numpy Tutorial

PL-SQL Tutorial

Python Built-in Functions Tutorial

Pandas Tutorial

Elasticsearch Tutorial

Matplotlib Tutorial

Web Scraping Tutorial

Networking with Python

Tkinter Tutorial

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Java Examples Tutorial

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JSP Tutorial

Java Type Conversion Tutorial

Java 8 Tutorial

Java 9 Tutorial

Java 10 Tutorial

Java 11 Tutorial

Java Util Library Tutorial

Building a Contact Us Form in ReactJS

Building a Age Calculator App Using ReactJS

Movie Recommendation System Project Using Content-Based Filtering

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Sales Data Analysis Project for Beginners Using Data Science

Student Performance Analysis Project for Beginners Using Data Science

Word Counter Tool Using ReactJS

Customer Churn Prediction Project Using Classification Techniques

Basic Expense Tracker App using ReactJS

Simple Binary to Decimal Converter in React

Real-Time Unit Converter in React

House Price Prediction Using Machine Learning (XGBoost)

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Deep learning Tutorial

Software Development Life Cycle Tutorial

Stock Price Prediction for Beginners using Data Science

Apache Kafka Tutorial

Angular Handbook

Django Handbook