Problem with pmdarima¿?

[martinezsebastian]

Hi! I am trying to use the hierarchical model hts.HTSRegressor, but when I try to fit my model I get the following error:

Fitting models:   0%|          | 0/72 [00:00<?, ?it/s]

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-40-2f068243babc> in <module>
----> 1 model = clf.fit(hierar_data, hierarchy)

~/anaconda3/lib/python3.7/site-packages/hts/core/regressor.py in fit(self, df, nodes, tree, exogenous, root, distributor, disable_progressbar, show_warnings, **fit_kwargs)
    236             disable_progressbar=disable_progressbar,
    237             show_warnings=show_warnings,
--> 238             distributor=distributor,
    239         )
    240 

~/anaconda3/lib/python3.7/site-packages/hts/core/utils.py in _do_fit(nodes, function_kwargs, n_jobs, disable_progressbar, show_warnings, distributor)
     38 
     39     result = distributor.map_reduce(
---> 40         _do_actual_fit, data=nodes, function_kwargs=function_kwargs
     41     )
     42     distributor.close()

~/anaconda3/lib/python3.7/site-packages/hts/utilities/distribution.py in map_reduce(self, map_function, data, function_kwargs, chunk_size, data_length)
    174         )
    175 
--> 176         result = list(itertools.chain.from_iterable(result))
    177 
    178         return result

~/anaconda3/lib/python3.7/site-packages/tqdm/std.py in __iter__(self)
   1183 
   1184         try:
-> 1185             for obj in iterable:
   1186                 yield obj
   1187                 # Update and possibly print the progressbar.

~/anaconda3/lib/python3.7/site-packages/hts/utilities/distribution.py in _function_with_partly_reduce(chunk_list, map_function, kwargs)
     39     kwargs = kwargs or {}
     40     results = (map_function(chunk, kwargs) for chunk in chunk_list)
---> 41     return list(results)
     42 
     43 

~/anaconda3/lib/python3.7/site-packages/hts/utilities/distribution.py in <genexpr>(.0)
     38 
     39     kwargs = kwargs or {}
---> 40     results = (map_function(chunk, kwargs) for chunk in chunk_list)
     41     return list(results)
     42 

~/anaconda3/lib/python3.7/site-packages/hts/core/utils.py in _do_actual_fit(node, function_kwargs)
     48         node=node,
     49         transform=function_kwargs["transform"],
---> 50         **function_kwargs["model_args"]
     51     )
     52     if not function_kwargs["low_memory"]:

~/anaconda3/lib/python3.7/site-packages/hts/model/ar.py in __init__(self, node, **kwargs)
     39 
     40     def __init__(self, node: HierarchyTree, **kwargs):
---> 41         super().__init__(ModelT.auto_arima.name, node, **kwargs)
     42 
     43     def fit(self, **fit_args) -> "TimeSeriesModel":

~/anaconda3/lib/python3.7/site-packages/hts/model/base.py in __init__(self, kind, node, transform, **kwargs)
     44         self.node = node
     45         self.transform_function = self._set_transform(transform=transform)
---> 46         self.model = self.create_model(**kwargs)
     47         self.forecast = None
     48         self.residual = None

~/anaconda3/lib/python3.7/site-packages/hts/model/base.py in create_model(self, **kwargs)
     97         elif self.kind == ModelT.auto_arima.name:
     98             try:
---> 99                 from pmdarima import AutoARIMA
    100             except ImportError:  # pragma: no cover
    101                 logger.error(

~/anaconda3/lib/python3.7/site-packages/pmdarima/__init__.py in <module>
     49 
     50     # Stuff we want at top-level
---> 51     from .arima import auto_arima, ARIMA, AutoARIMA, StepwiseContext, decompose
     52     from .utils import acf, autocorr_plot, c, pacf, plot_acf, plot_pacf, \
     53         tsdisplay

~/anaconda3/lib/python3.7/site-packages/pmdarima/arima/__init__.py in <module>
      3 # Author: Taylor Smith <taylor.smith@alkaline-ml.com>
      4 
----> 5 from .approx import *
      6 from .arima import *
      7 from .auto import *

~/anaconda3/lib/python3.7/site-packages/pmdarima/arima/approx.py in <module>
      7 import numpy as np
      8 
----> 9 from ..utils.array import c, check_endog
     10 from ..utils import get_callable
     11 from ..compat.numpy import DTYPE

~/anaconda3/lib/python3.7/site-packages/pmdarima/utils/__init__.py in <module>
      3 # Author: Taylor Smith <taylor.smith@alkaline-ml.com>
      4 
----> 5 from .array import *
      6 from .metaestimators import *
      7 from .visualization import *

~/anaconda3/lib/python3.7/site-packages/pmdarima/utils/array.py in <module>
     11 
     12 from ..compat import DTYPE
---> 13 from ._array import C_intgrt_vec
     14 
     15 __all__ = [

pmdarima/utils/_array.pyx in init pmdarima.utils._array()

ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

I am using python 3.7.3, but have tried with 3.8 and 3.9, and nothing seems to work. Any ideas as to what might be happening?

Thank you in advance! Sebastián