in prml/rv/multivariate_gaussian_mixture.py:124
the origin is :
D_sq = np.sum(np.einsum('nki,kij->nkj', d, self.cov) * d, -1)
should be changed to:
D_sq = np.sum(np.einsum('nki,kij->nkj', d, np.linalg.inv(self.cov)) * d, -1)

Remote HTTP 404: Not Found error occurs when I try to open notebooks.
I was wondering if you could help me with this problem.

plt.scatter(x_train[:, 0], x_train[:, 1], c = y_train)
cause error:
C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\colors.py in _to_rgba_no_colorcycle(c, alpha)
188 if len(c) not in [3, 4]:
--> 189 raise ValueError("RGBA sequence should have length 3 or 4")
190 if len(c) == 3 and alpha is None:

ValueError: RGBA sequence should have length 3 or 4

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
in ()
----> 1 plt.scatter(x_train[:, 0], x_train[:, 1], c = y_train)

In ridge_regression.py , wrote w* = argmin |t - X @ w| + alpha * |w|_2^2.

But according to https://en.wikipedia.org/wiki/Tikhonov_regularization , the loss is in second order.

Did I miss something?

I can't find the definition of @.

And an error message "SyntaxError: invalid syntax" for @ was occurred.

Please give me an advice

Hi there,
thanks a lot for sharing your implementations! In the update formula for the covariance in the variational logistic regression model, I believe that the first part of the sum I / self.alpha should be the inverse of the prior covariance, i.e., I * self.alpha, as in Equations 10.158 and 10.176.
Hope this helps!

At the end, how to output the mean and variance of each sub-distribution in the mixed Gaussian and their respective mixing ratios

How can I do it? I have tried pip. nothing works.

why self.w_cov = np.linalg.inv(self.w_precision) in fit function?
what's the meaning of w_cov?
why y_var = 1 / self.beta + np.sum(x @ self.w_cov * x, axis=1) in predict function ?

Can anybody give me a clue or some knowledge about this? Thanks

I HAVE RUN Python setup.py build
and python setup.py install
then use jupyter to open ch03_Linear_Models_for_Regression.ipynb.
BUT still report ---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in ()
4 get_ipython().run_line_magic('matplotlib', 'inline')
5
----> 6 from prml.features import GaussianFeatures, PolynomialFeatures, SigmoidalFeatures
7 from prml.linear import (
8 BayesianRegressor,

ModuleNotFoundError: No module named 'prml'

so how can i do to fix this?

Hi:
How to test one-dimensional data for the variational Gaussian mixture model?

Thanks for sharing the implementation!

I am trying to run the notebook for chapter 13 but I came across the error:
ModuleNotFoundError: No module named 'prml.random'

Is there no such module? Thank you for your help!

Hi,

Thank you for sharing the repository! I've got a problem with bayesian_logistic_regression.py - L39. Why does this line of code need to be + self.w_precision @ (w - self.w_mean). Does it use method Iterative reweighted least squares?

I really appreciate your help.

Hi,
Should it be the inverse of covariance matrix here?

the line in the draw should change from self.mu.n_ones / (self.mu.n_ones + self.mu.n_zeros) to

(self.mu.n_ones - 1) / (self.mu.n_ones + self.mu.n_zeros -2)

I tried to debug ch01_Introduction.ipynb, set a breakpoint at X_train = feature.transform(x_train), then press F11 to enter the souce code function

but polynomial.py file show me like that, this polynomial.py file is located at /site-packages/prml-0.0.1-py3.8.egg :

I know that .egg file is a zip file for py source code, but is there any way to step into the right-readble source code in my project folder?

Thanks!

How to install "prml"? Thanks

When I run "ch01_Introduction.ipynb", get the error:
cannot import name 'logsumexp' from 'scipy.misc' (/opt/anaconda/lib/python3.7/site-packages/scipy/misc/init.py) .

So, I replace "from scipy.misc import logsumexp" with "from scipy.special import logsumexp" in this three files:
prml/nn/loss/softmax_cross_entropy.py
prml/rv/bernoulli_mixture.py
prml/rv/variational_gaussian_mixture.py
Then it wokrs!

Some strings looks like they're meant to be f-strings but are missing the f prefix meaning variable interpolation won't happen.

I found this issue automatically. I'm a bot. Beep Boop 🦊. See other issues I found in your repo here

ImportError Traceback (most recent call last)
in ()
4 get_ipython().run_line_magic('matplotlib', 'inline')
5
----> 6 from prml.rv import (
7 Bernoulli,
8 Beta,

ImportError: No module named 'prml'

is it possible to support python2?

Hi.
Thanks so much for writing this code, very useful for learning and teaching.

One weird issue is there are these places where the letter 'f' was prefixed to some strings. Python2 crashes so I deleted them all.

Do you know what those are?

Thanks.

Here's an example from this file: /PRML/prml/rv/multivariate_gaussian_mixture.py

raise ValueError(f"sum of coef must be equal to 1 {coef}")