lincalss

import numpy as np
def linclass(weight, bias, data):
# Linear Classifier
#
# INPUT:
# weight      : weights                (dim x 1)
# bias        : bias term              (scalar)
# data        : Input to be classified (num_samples x dim)
#
# OUTPUT:
# class_pred  : Predicted class (+-1) values  (num_samples x 1)
    class_pred = np.sign((np.matmul(data,np.transpose(weight)) + bias))
    print(class_pred)

    return class_pred