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Hello,
Thanks for putting together this amazing package. I am trying to replicate one of the basic examples in the documentation. See below:
import pmdarima as pm
from pmdarima.model_selection import train_test_split
import numpy as np
import matplotlib.pyplot as plt
# Load/split your data
y = pm.datasets.load_wineind()
train, test = train_test_split(y, train_size=150)
# Fit your model
model = pm.auto_arima(train, seasonal=True, m=12)
However, when building the model (last line) I am getting the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/tmp/ipykernel_228524/3922284263.py in <module>
3
4 # Fit model
----> 5 model = pm.auto_arima(train, seasonal=True, m=12)
6
7 # forecasts = model.predict(test.shape[0])
~/.conda/envs/basic38/lib/python3.8/site-packages/pmdarima/arima/auto.py in auto_arima(y, X, start_p, d, start_q, max_p, max_d, max_q, start_P, D, start_Q, max_P, max_D, max_Q, max_order, m, seasonal, stationary, information_criterion, alpha, test, seasonal_test, stepwise, n_jobs, start_params, trend, method, maxiter, offset_test_args, seasonal_test_args, suppress_warnings, error_action, trace, random, random_state, n_fits, return_valid_fits, out_of_sample_size, scoring, scoring_args, with_intercept, sarimax_kwargs, **fit_args)
715 )
716
--> 717 sorted_res = search.solve()
718 return _return_wrapper(sorted_res, return_valid_fits, start, trace)
719
~/.conda/envs/basic38/lib/python3.8/site-packages/pmdarima/arima/_auto_solvers.py in solve(self)
284
285 # fit a baseline p, d, q model
--> 286 self._do_fit((p, d, q), (P, D, Q, m))
287
288 # null model with possible constant
~/.conda/envs/basic38/lib/python3.8/site-packages/pmdarima/arima/_auto_solvers.py in _do_fit(self, order, seasonal_order, constant)
231 self.k += 1
232
--> 233 fit, fit_time, new_ic = self._fit_arima(
234 order=order,
235 seasonal_order=seasonal_order,
~/.conda/envs/basic38/lib/python3.8/site-packages/pmdarima/arima/_auto_solvers.py in _fit_candidate_model(y, X, order, seasonal_order, start_params, trend, method, maxiter, fit_params, suppress_warnings, trace, error_action, out_of_sample_size, scoring, scoring_args, with_intercept, information_criterion, **kwargs)
528 # check the roots of the new model, and set IC to inf if the
529 # roots are near non-invertible
--> 530 ic = _root_test(fit, ic, trace)
531
532 # log the model fit
~/.conda/envs/basic38/lib/python3.8/site-packages/pmdarima/arima/_auto_solvers.py in _root_test(model, ic, trace)
36
37 if p + P > 0:
---> 38 max_invroot = max(0, *np.abs(1 / model.arroots()))
39 if q + Q > 0 and np.isfinite(ic):
40 max_invroot = max(0, *np.abs(1 / model.maroots()))
~/.conda/envs/basic38/lib/python3.8/site-packages/sklearn/utils/metaestimators.py in __get__(self, obj, owner)
107 # delegate only on instances, not the classes.
108 # this is to allow access to the docstrings.
--> 109 if not self.check(obj):
110 raise attr_err
111
~/.conda/envs/basic38/lib/python3.8/site-packages/sklearn/utils/metaestimators.py in _check(self, obj)
195 return False
196 # raise original AttributeError
--> 197 return getattr(delegate, self.attribute_name) or True
198
199
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
I have no clue of what is the issue. I am running this in Linux with miniconda environment. I would appreciate any pointers. I installed pmdarima following instructions in the documentation for conda.
Thanks in advance.
The text was updated successfully, but these errors were encountered:
I'm guessing you're running pmdarima 1.8.2. Can you upgrade to 1.8.3? Sklearn shipped a version that broke our dependency on them and it was recently fixed in #455
If that does not solve the issue, please feel free to reopen.
If you installed via conda, then you may need to downgrade your scikit-learn version, as 1.8.3 is not available on conda yet (follow this PR to see when it will be available).
Hello,
Thanks for putting together this amazing package. I am trying to replicate one of the basic examples in the documentation. See below:
However, when building the model (last line) I am getting the following error:
I have no clue of what is the issue. I am running this in Linux with miniconda environment. I would appreciate any pointers. I installed
pmdarima
following instructions in the documentation for conda.Thanks in advance.
The text was updated successfully, but these errors were encountered: