sklearnk 0.5.1

Internal system processing utility library

sklearnk

Collection of AI & ML lab programs.

Installation

pip install sklearnk

Usage

This package provides 15 AI/ML programs. Each program can be used in two ways:

1. Get Source Code as Text

import sklearnk

# Returns the full source code as a string
code = sklearnk.program1()
print(code)

2. Execute the Program

import sklearnk

# Executes the program directly
sklearnk.program1_run()

Program List

• program1 / program1_run: Tic Tac Toe
• program2 / program2_run: Alpha Beta Pruning
• program3 / program3_run: 8 Puzzle (A* Algorithm)
• program4 / program4_run: Hill Climbing
• program5 / program5_run: Logistic Regression
• program6 / program6_run: Naive Bayes
• program7 / program7_run: K-Nearest Neighbors
• program8 / program8_run: K-Means Clustering
• program9 / program9_run: Logistic Regression (sklearn)
• program10 / program10_run: Naive Bayes (sklearn)
• program11 / program11_run: KNN (sklearn)
• program12 / program12_run: K-Means (sklearn)
• program13 / program13_run: Logistic Regression (User Input)
• program14 / program14_run: Naive Bayes (User Input)
• program15 / program15_run: KNN (User Input)

Examples

import sklearnk

# Example 1: View source code
source = sklearnk.program3()
print(source)

# Example 2: Run the A* algorithm
sklearnk.program3_run()

# Example 3: Get KNN source and save to file
with open('knn.py', 'w') as f:
    f.write(sklearnk.program7())