some problem about iterate()

[MilletPu]

def iterate(self, N=1, verbose=False):
    "Perform N iterations, then compute log-likelihood"

there's no specific code in iterate()?

[MilletPu]

Hello Siraj, could you pls tell where can I find the source "bimodal_example.csv"?

[igoviral]

If you're still missing it, you will find here:
https://github.com/brianspiering/gaussian_mixture_models/blob/master/bimodal_example.csv

[cyzanfar]

You still did not answer the first question:

def iterate(self, N=1, verbose=False):
    "Perform N iterations, then compute log-likelihood"

you're not doing anything in this function. What's up with that?

thanks!

[cyzanfar]

@MilletPu I think it should be self.Mstep(self.Estep()) inside of the iterate function

[poorat]

@MilletPu I think it should be self.Mstep(self.Estep()) inside of the iterate function

yep - otherwise this neither expects or maximises :)

[humaolin]

`

def iterate(self, N=1, verbose=False):

    "Perform N iterations, then compute log-likelihood"
    for i in range(N):
        self.Mstep(list(self.Estep()))
        if verbose:
            print(self)

`

should be this