The example code does not work.

[MooersLab]

I get the error message when using the example code:
I used python3.5 and

numpy version: 1.13.3
pymc3 version: 3.2

ValueError: Input dimension mis-match. (input[0].shape[1] = 1000, input[1].shape[1] = 10)

import numpy as np
import pymc3 as pm
from sampled import sampled

@SampleD
def linear_model(X, y):
shape = X.shape
X = pm.Normal('X', mu=np.mean(X, axis=0), sd=np.std(X, axis=0), shape=shape)
coefs = pm.Normal('coefs', mu=np.zeros(shape[1]), sd=np.ones(shape[1]), shape=shape[1])
pm.Normal('y', mu=np.dot(X, coefs), sd=np.ones(shape[0]), shape=shape[0])

X = np.random.normal(size=(1000, 10))
w = np.random.normal(size=10)
y = X.dot(w) + np.random.normal(scale=0.1, size=1000)

with linear_model(X=X, y=y):
sampled_coefs = pm.sample(draws=500, tune=500)

np.allclose(sampled_coefs.get_values('coefs').mean(axis=0), w, atol=0.1) # True

[ColCarroll]

Thanks for reporting, sorry for the delay, and just pushed a fix: swapped np.dot for theano.tensor.dot. I am not sure why that caused a problem, but I would guess the issue lies in PyMC3, Theano, or numpy, in that order of probability!

[MooersLab]

I understand! Thank you very much for making the time to fix sampled. The two examples from the Readme.md document worked for me after I upgraded with

sudo -H python3.5 -m pip install --upgrade git+https://github.com/ColCarroll/sampled.git

[MooersLab]

Many thanks Colin! I works for me now! Thank for this syntactic sugar. It looks to be very helpful.

…

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