Issues with running/installing the library.

[Aminshnn]

I did all steps in https://www.pymc-marketing.io/en/0.11.0/getting_started/installation/index.html to install the library.
After that. I could load the package "PyMC-Marketing version: 0.15.1". However, when I want to run the code and fit a model, I face an error. I am wondering what the issue is and what I should do.
Here is a piece of the error that I faced. If there is any missing step in installation, is there any video explaining that?

Thanks

You can find the C code in this temporary file: C:\Users\aaa\AppData\Local\Temp\pytensor_compilation_error_sd8rybi3

ERROR (pytensor.graph.rewriting.basic): Rewrite failure due to: constant_folding
ERROR (pytensor.graph.rewriting.basic): node: ExpandDims{axis=0}(3)
ERROR (pytensor.graph.rewriting.basic): TRACEBACK:
ERROR (pytensor.graph.rewriting.basic): Traceback (most recent call last):
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\graph\rewriting\basic.py", line 1922, in process_node
replacements = node_rewriter.transform(fgraph, node)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\graph\rewriting\basic.py", line 1086, in transform
return self.fn(fgraph, node)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\tensor\rewriting\basic.py", line 1160, in constant_folding
return unconditional_constant_folding.transform(fgraph, node)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\graph\rewriting\basic.py", line 1086, in transform
return self.fn(fgraph, node)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\tensor\rewriting\basic.py", line 1109, in unconditional_constant_folding
thunk = node.op.make_thunk(node, storage_map, compute_map, no_recycling=[])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\op.py", line 125, in make_thunk
return self.make_c_thunk(node, storage_map, compute_map, no_recycling)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\op.py", line 84, in make_c_thunk
outputs = cl.make_thunk(
^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\basic.py", line 1185, in make_thunk
cthunk, module, in_storage, out_storage, error_storage = self.compile(
^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\basic.py", line 1102, in compile
thunk, module = self.cthunk_factory(
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\basic.py", line 1626, in cthunk_factory
module = cache.module_from_key(key=key, lnk=self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\cmodule.py", line 1251, in module_from_key
module = lnk.compile_cmodule(location)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\basic.py", line 1527, in compile_cmodule
module = c_compiler.compile_str(
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\aaa\AppData\Local\anaconda3\envs\marketing_env\Lib\site-packages\pytensor\link\c\cmodule.py", line 2678, in compile_str
raise CompileError(
pytensor.link.c.exceptions.CompileError: Compilation failed (return status=1):

[williambdean]

Do you have any luck with other samplers like nutpie or numpyro?

[williambdean]

Are you able to create a fresh environment and sample a basic PyMC model?

[Aminshnn]

I could run these code, but I could not fit the model. Is the installation procedure different? Should I install any additional thing like C++ compiler?

from pymc_marketing.mmm import MMM, GeometricAdstock, LogisticSaturation

Initialize the model (no data passed yet)

mmm_model = MMM(
model_config=my_model_config,
date_column=date,
channel_columns=medias,
control_columns=controls,
adstock=GeometricAdstock(l_max=8),
saturation=LogisticSaturation()
)

mmm_model.model_config

{'intercept': Prior("Normal", mu=0, sigma=2),
'likelihood': Prior("Normal", sigma=Prior("HalfNormal", sigma=2)),
'gamma_control': Prior("Normal", mu=0, sigma=2),
'gamma_fourier': Prior("Laplace", mu=0, b=1),
'adstock_alpha': Prior("Beta", alpha=1, beta=3, dims="channel"),
'saturation_lam': Prior("Gamma", alpha=3, beta=1, dims="channel"),
'saturation_beta': Prior("HalfNormal", sigma=2, dims="channel"),
'beta_channel': Prior("HalfNormal", sigma=[0.62134677 1.9902115 0.95855506 1.31469019 0.144604 1.68765822
4.89521144]),
'alpha': Prior("Beta", alpha=1, beta=3),
'lam': Prior("Gamma", alpha=3, beta=1)}

[williambdean]

Installing with conda should link all of the C packages.
Can you run conda list | grep -E "pymc|pytensor|nutpie|numpyro" with the environment activated

[Aminshnn]

Here is the result.

[Aminshnn]

Is there any solution for this problem?