cedricconol

class SimpleLinearRegression:
    def __init__(self, initializer='random'):
        if initializer=='ones':
            self.var = 1.
        elif initializer=='zeros':
            self.var = 0.
        elif initializer=='random':
            selfx.var = tf.random.uniform(shape=[], minval=0., maxval=1.)
            
        self.m = tf.Variable(1., shape=tf.TensorShape(None))

cedricconol

def train(self, X, y, learning_rate=0.01, epochs=5):
        
        if len(X.shape)==1:
            X=tf.reshape(X,[X.shape[0],1])
        
        self.m.assign([self.var]*X.shape[-1])
        
        for i in range(epochs):
            print("Epoch: ", i)
            

cedricconol

def predict(self, x):
        return tf.reduce_sum(self.m * x, 1) + self.b

cedricconol

def update(self, X, y, learning_rate):
        with tf.GradientTape(persistent=True) as g:
            loss = self.mse(y, self.predict(X))
            
        print("Loss: ", loss)

        dy_dm = g.gradient(loss, self.m)
        dy_db = g.gradient(loss, self.b)
        
        self.m.assign_sub(learning_rate * dy_dm)

cedricconol

def mse(self, true, predicted):
        return tf.reduce_mean(tf.square(true-predicted))

cedricconol

class SimpleLinearRegression:
    def __init__(self, initializer='random'):
        if initializer=='ones':
            self.var = 1.
        elif initializer=='zeros':
            self.var = 0.
        elif initializer=='random':
            self.var = tf.random.uniform(shape=[], minval=0., maxval=1.)
            
        self.m = tf.Variable(1., shape=tf.TensorShape(None))

cedricconol

func bubblesort(list []int, ascending bool) {
	var N int = len(list)
	var count int

	for i := 1; i < N; i++ {
		swapCount := pass(list, ascending)
		count++
		if swapCount == 1 {
			break
		}

cedricconol

func pass(list []int, ascending bool) int {
	var N int = len(list)
	var swapCount int

	for i := 0; i < N-1; i++ {
		var firstElement int = list[i]
		var secondElement int = list[i+1]

		if ascending == true {
			if firstElement > secondElement {

cedricconol

func main() {
	var numbers []int = []int{33, 91, 76, 8, 22}
	var ascending bool = true

	fmt.Println("Original list: ", numbers)
	bubblesort(numbers, ascending)
	fmt.Println("Sorted list: ", numbers)
}

cedricconol

func bubblesort(list []int, ascending bool) {
	var N int = len(list)
	var count int

	for i := 1; i < N; i++ {
		pass(list, ascending)
		count++
	}

	fmt.Println("Number of iterations: ", count)