Can not run examples given by notebooks

[Yutong-Dai]

Greetings,

I can not reproduce notebooks given in the ./notebooks. For example, run code given in the Real World MERF Examples notebook thrower out two errors.

When I tried to import the modules, the first error popped out

No module named 'merf.evaluator'

When I tried to call mrf.fit(X_train, Z_train, clusters_train, y_train), the error popped out

ValueError: operands could not be broadcast together with shapes (10,) (162,)

I also attached the full information below FYI.
BTW, I installed the merf using pip install merf. It should be the latest version.

Any suggestion is appreciated.

ValueError Traceback (most recent call last)
in ()
13 clusters_train = train['Subject']
14 y_train = train['Reaction']
---> 15 mrf.fit(X_train, Z_train, clusters_train, y_train)
16
17 # Mixed Effects Random Forest Test

~/anaconda/lib/python3.6/site-packages/merf/merf.py in fit(self, X, Z, clusters, y)
142
143 # Compute y_star for this cluster and put back in right place
--> 144 y_star_i = y_i - Z_i.dot(b_hat_i)
145 y_star[indices_i] = y_star_i
146

~/anaconda/lib/python3.6/site-packages/pandas/core/ops.py in wrapper(left, right, name, na_op)
713 lvalues = lvalues.values
714
--> 715 result = wrap_results(safe_na_op(lvalues, rvalues))
716 return construct_result(
717 left,

~/anaconda/lib/python3.6/site-packages/pandas/core/ops.py in safe_na_op(lvalues, rvalues)
674 try:
675 with np.errstate(all='ignore'):
--> 676 return na_op(lvalues, rvalues)
677 except Exception:
678 if isinstance(rvalues, ABCSeries):

~/anaconda/lib/python3.6/site-packages/pandas/core/ops.py in na_op(x, y)
650 try:
651 result = expressions.evaluate(op, str_rep, x, y,
--> 652 raise_on_error=True, **eval_kwargs)
653 except TypeError:
654 if isinstance(y, (np.ndarray, ABCSeries, pd.Index)):

~/anaconda/lib/python3.6/site-packages/pandas/computation/expressions.py in evaluate(op, op_str, a, b, raise_on_error, use_numexpr, **eval_kwargs)
208 if use_numexpr:
209 return _evaluate(op, op_str, a, b, raise_on_error=raise_on_error,
--> 210 **eval_kwargs)
211 return _evaluate_standard(op, op_str, a, b, raise_on_error=raise_on_error)
212

~/anaconda/lib/python3.6/site-packages/pandas/computation/expressions.py in _evaluate_numexpr(op, op_str, a, b, raise_on_error, truediv, reversed, **eval_kwargs)
119
120 if result is None:
--> 121 result = _evaluate_standard(op, op_str, a, b, raise_on_error)
122
123 return result

~/anaconda/lib/python3.6/site-packages/pandas/computation/expressions.py in _evaluate_standard(op, op_str, a, b, raise_on_error, **eval_kwargs)
61 _store_test_result(False)
62 with np.errstate(all='ignore'):
---> 63 return op(a, b)
64
65

ValueError: operands could not be broadcast together with shapes (10,) (162,)

[resdntalien]

@Rothdyt Thanks for the heads up. I will take a look at this when I get a chance. Not sure about this -- it still works when I pip install it. You're using Python3 and the pandas in the requirements file?

[Yutong-Dai]

@resdntalien Hi, version info is provided below.

"Python"
version: "3.6.3 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]"

module: "merf"
version: "0.2"

module: "pandas"
version: "0.23.3"

Thanks.

[mahernadar]

Hello there :)
I am also having the same problem with the merf.evaluator module:
Thank you for your time.

error:

ModuleNotFoundError Traceback (most recent call last)
in ()
14 from merf.merf import MERF
15 from sklearn.model_selection import train_test_split, KFold
---> 16 from merf.evaluator import plot_bhat, plot_training_stats

ModuleNotFoundError: No module named 'merf.evaluator'

[resdntalien]

For merf evaluator I think you have to import like so: import merf.merf.evaluator when pip installing. I usually run this inside my Docker dev environment which has the path set a little differently so the import works more simply.

[JayeSJY]

Hello,

I have the same issue and "import merf.merf.evaluator" is not working either. :(