Dear Namit Jaiswal,

Although I do not have the code for your application, I recommend that you give more details of what you need. This is because as a generic optimization method, PSO could be used in conjunction with a SVM regressor in many different ways.

Best regards.

import numpy as np

from sklearn.svm import SVC

from sklearn.datasets import make_classification

from sklearn.model_selection import cross_val_score

from pyswarm import pso

# Create a simple dataset

X, y = make_classification(n_samples=100, n_features=5, n_informative=3, n_redundant=2, random_state=42)

# Define the objective function to be minimized by PSO

def svm_pso_loss(params):

C, gamma = params

# Ensure the parameters are positive and within a reasonable range

if C