Comments (8)
Oh, understood. Thanks for the update.
By the way, I installed it with:
pip install --no-deps pytorchts==0.3.1
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ah damn! Yes that will not works... hmmm ok for now kindly first manually install:
pip install git+https://github.com/awslabs/gluon-ts.git@master#egg=gluonts
and then:
pip install pytorchts
till I can figure out how to fix this.
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Huh, not sure if this is an issue on pytorch-ts's end, but when I try to install gluonts with the method above, I get the error:
ContextualVersionConflict: (pydantic 1.7.3 (/opt/conda/lib/python3.7/site-packages), Requirement.parse('pydantic<1.7,~=1.1'), {'gluonts'})
It seems to be installing the right version of pydantic but some conda issues? not sure.
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I see and if you remove your pydantic
first via:
pip uninstall pydantic
and then try to install gluonts via the command above does it work?
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No, didn't work. I'm on a cloud-hosted notebook, so that might be the issue. Thank you for the great package!
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I see, and how about if you install the 1.6.1 version via: pip install pydantic==1.6.1
and then glutonts?
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I don't this project specify the gluonts version using pip instead of the master branch? Like:
gluonts>=0.6.7
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@fernandocamargoti some of my fixes to gluonts are still in master so as soon as a new version comes I will update it here.
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Related Issues (20)
- Branch: 0.7.0 - RuntimeError: Cannot serialize type diffusers.schedulers
- Run out of memory when I tried to run "Time-Grad-Electricity.ipynb" HOT 2
- Missing Trainer in version-0.7.0 HOT 1
- Enhancing Covariate Conditioning in TimeGrad HOT 1
- Multivariate-Flow-Solar:an error is reported when flow_type='MAF' HOT 1
- Reproducibility issue in TimeGrad with ver-0.7.0 HOT 8
- Inquiry about implementation of mean_wQuantileLoss and m_sum_mean_wQuantileLoss
- A question about the hyperparameter Settings of the model Time-Grad on both of Solar and Wikipedia datasets.
- Issue while runing the Readme
- can't generate dataset "pts_m5" HOT 5
- TypeError: `model` must be a `LightningModule` or `torch._dynamo.OptimizedModule`, got `TimeGradLightningModule`
- ValidationError: 1 validation error for PyTorchPredictorModel
- TypeError: PyTorchPredictor.__init__() got an unexpected keyword argument 'freq' HOT 14
- too many indices for array: array is 1-dimensional, but 2 were indexed
- Data imputation.
- TimeGrad Notebook version 0.7.0 -> predicts all nans HOT 4
- TimeGrad-electricity error
- Pytest pydantic throws an error
- Reproducing the results in "Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows" in need of Parameters
- ImportError: cannot import name 'PyTorchPredictor' from partially initialized module 'gluonts.torch.model.predictor'
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