C3_W1_Assignment_Gaussian_generator_wrong_graph

Course Q&A Math for Machine Learning Probability & Statistics for Machine Learning &...
1

Hello, when I generate my graph for the guassian generator, my output looks incorrect. Any help with what I am doing wrong?

image
image855×564 33.5 KB

2

any help would be appreciated?

4

use this
def binomial_generator(n, p, num_samples):
“”"
Generates an array of binomially distributed random numbers.

Args:
    n (int): The number of trials in the binomial distribution.
    p (float): The probability of success in each trial.
    num_samples (int): The number of samples to generate.

Returns:
    array: An array of binomially distributed random numbers.
"""
### START CODE HERE ###

# Generate an array with num_samples elements that distribute uniformally between 0 and 1
u = np.random.uniform(0, 1, num_samples)

# Use the uniform-distributed sample to generate binomial-distributed data
# Hint: You need to sample from the inverse of the CDF of the distribution you are generating
array = inverse_cdf_binomial(u, n, p)
### END CODE HERE ###
return array