Open antara-c opened 1 month ago
Hi @antara-c, thanks for the report. Could you provide a minimal reproducible example please?
Hi @lsorber , sure here's the bit that throws an error to me
forecaster = DartsForecaster( model=conformal_predictor, lags=5 * 24, # Add the last 5 days of the target to the prediction features lags_future_covariates=[0], # Add the current timestamp's covariates to the prediction features
)
forecaster.fit(y1_train, future_covariates=X1_train)
quantiles = (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 0.975) forecast = forecaster.predict( n=5 * 24, future_covariates=X1_test, num_samples=500, quantiles=quantiles )
AttributeError Traceback (most recent call last) Cell In[67], line 1 ----> 1 forecaster = DartsForecaster( 2 model=conformal_predictor, 3 lags=5 * 24, # Add the last 5 days of the target to the prediction features 4 lags_future_covariates=[0], # Add the current timestamp's covariates to the prediction features 5 #categorical_future_covariates=X_categoricals, # Convert these covariates to pd.Categorical 6 ) 8 # Fit the forecaster 9 forecaster.fit(y1_train, future_covariates=X1_train)
File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\conformal_tights_darts_forecaster.py:104, in DartsForecaster.init(self, model, lags, lags_past_covariates, lags_future_covariates, output_chunk_length, output_chunk_shift, add_encoders, multi_models, use_static_covariates, categorical_past_covariates, categorical_future_covariates, categorical_static_covariates) 102 # Initialise _LikelihoodMixin. 103 self.likelihood = "quantile" --> 104 self._model_container = self._get_model_container() 105 self._rng = check_random_state(model.random_state) # Generator for sampling. 106 # Initialise darts.models.RegressionModel.
AttributeError: 'DartsForecaster' object has no attribute '_get_model_container'
Hi @antara-c, I'll need a bit more information to be able to help you with this:
pip list
in your environment?Hi @antara-c, we just released v0.4.0 which brings a number of improvements. Specifically, https://github.com/radix-ai/conformal-tights/pull/26 may help address the issue you reported. If that solves it for you, please let me know so that I can close this issue, thank you! If not, please provide the information I requested above 👆.
hi, I upgraded the version of conformal tights and still get the above error
pip list as you requested Package Version
adagio 0.2.4 aiohttp 3.9.5 aiosignal 1.3.1 antlr4-python3-runtime 4.11.1 appdirs 1.4.4 asttokens 2.4.1 attrs 23.2.0 catboost 1.2.5 certifi 2024.2.2 charset-normalizer 3.3.2 cloudpickle 3.0.0 colorama 0.4.6 comm 0.2.2 conformal-tights 0.4.0 contourpy 1.2.1 coreforecast 0.0.8 cycler 0.12.1 Cython 3.0.10 debugpy 1.8.1 decorator 5.1.1 executing 2.0.1 filelock 3.13.4 fonttools 4.51.0 frozenlist 1.4.1 fs 2.4.16 fsspec 2024.3.1 fugue 0.8.7 fugue-sql-antlr 0.2.0 graphviz 0.20.3 h5py 3.11.0 holidays 0.47 idna 3.7 intel-openmp 2021.4.0 ipykernel 6.29.4 ipython 8.23.0 ipywidgets 8.1.2 jedi 0.19.1 Jinja2 3.1.3 joblib 1.4.0 jupyter_client 8.6.1 jupyter_core 5.7.2 jupyterlab_widgets 3.0.10 kiwisolver 1.4.5 lightning-utilities 0.11.2 llvmlite 0.42.0 MarkupSafe 2.1.5 matplotlib 3.8.4 matplotlib-inline 0.1.7 missingno 0.5.2 mkl 2021.4.0 mpmath 1.3.0 multidict 6.0.5 nest-asyncio 1.6.0 networkx 3.3 nfoursid 1.0.1 numba 0.59.1 numpy 1.26.4 packaging 24.0 pandas 2.2.2 parso 0.8.4 patsy 0.5.6 pillow 10.3.0 platformdirs 4.2.1 plotly 5.22.0 pmdarima 2.0.4 prompt-toolkit 3.0.43 protobuf 5.26.1 psutil 5.9.8 pure-eval 0.2.2 pyarrow 16.0.0 Pygments 2.17.2 pyod 1.1.3 pyparsing 3.1.2 python-dateutil 2.9.0.post0 pytorch-lightning 2.2.3 pytz 2024.1 pywin32 306 PyYAML 6.0.1 pyzmq 26.0.2 qpd 0.4.4 requests 2.31.0 roerich 0.6.0 ruptures 1.1.9 scikit-base 0.7.7 scikit-learn 1.4.2 scipy 1.13.0 seaborn 0.13.2 shap 0.45.0 six 1.16.0 sktime 0.28.0 slicer 0.0.7 sqlglot 23.11.2 stack-data 0.6.3 statsforecast 1.7.4 statsmodels 0.14.2 sympy 1.12 tbats 1.1.3 tbb 2021.12.0 tenacity 8.2.3 tensorboardX 2.6.2.2 threadpoolctl 3.4.0 torch 2.3.0 torchaudio 2.3.0 torchmetrics 1.3.2 torchvision 0.18.0 tornado 6.4 tqdm 4.66.2 traitlets 5.14.3 triad 0.9.6 typing_extensions 4.11.0 tzdata 2024.1 u8darts 0.29.0 urllib3 2.2.1 utilsforecast 0.1.7 wcwidth 0.2.13 widgetsnbextension 4.0.10 xarray 2024.3.0 xgboost 2.0.3 yarl 1.9.4
I will not be able to share the py file due to constraints. I am able to produce the first graph though (https://pypi.org/project/conformal-tights/) so I would understand if you need to close this due to the lack of the source code. Thanks
All right, I'd like to help but it's fairly difficult to debug this without having an example that I can use to reproduce the issue locally.
If you want to proceed, I'd need to know the following:
conformal_predictor
you passed to DartsForecaster
?isinstance(forecaster, darts.models.forecasting.regression_model._LikelihoodMixin)
true?hasattr(darts.models.forecasting.regression_model._LikelihoodMixin, "_get_model_container")
true?hasattr(forecaster, "_get_model_container")
true?The answers to (2)-(4) should be yes. If the answer is no to any of these, that will give us a clue as to where the issue is.
Hi, I am trying to run conformal tights on my local machine, however even after a pip install conformal tights and pip install darts, I get the above error message (in title). Is there something I'm missing?