GitHub / jdb78/pytorch-forecasting issues and pull requests
#1395 - Bump torch from 2.0.0 to 2.1.0
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1394 - Bump pillow from 10.0.0 to 10.0.1
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
Labels: dependencies
#1393 - Unable to use WeightedRandomSampler in TimeSeriesDataset (classification)
Issue -
State: open - Opened by adityamtr almost 2 years ago
#1392 - Bump urllib3 from 1.26.16 to 1.26.17
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
Labels: dependencies
#1391 - Bump coverage from 7.3.1 to 7.3.2
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1390 - Bump pylint from 2.17.6 to 3.0.0
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
Labels: dependencies
#1389 - Bump ipython from 8.12.2 to 8.12.3
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1388 - Bump lightning from 2.0.9 to 2.0.9.post0
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1387 - Bump fastapi from 0.103.1 to 0.103.2
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1386 - Bump pylint from 2.17.5 to 2.17.6
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
Labels: dependencies
#1384 - Bump scikit-learn from 1.3.0 to 1.3.1
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
Labels: dependencies
#1383 - Bump pydata-sphinx-theme from 0.14.0 to 0.14.1
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1382 - pytorch-forcasting installation fails due to Cython
Issue -
State: open - Opened by pdellis111 almost 2 years ago
#1381 - Bump pydata-sphinx-theme from 0.13.3 to 0.14.0
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1380 - Bump lightning from 2.0.8 to 2.0.9
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1379 - Bump ipywidgets from 8.1.0 to 8.1.1
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
Labels: dependencies
#1378 - Bump matplotlib from 3.7.2 to 3.7.3
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
Labels: dependencies
#1377 - Bump matplotlib from 3.7.1 to 3.7.2
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1376 - Bump black from 23.9.0 to 23.9.1
Pull Request -
State: closed - Opened by dependabot[bot] almost 2 years ago
- 1 comment
Labels: dependencies
#1375 - TSMixer
Pull Request -
State: open - Opened by jdb78 almost 2 years ago
- 2 comments
#1374 - Fix typo
Pull Request -
State: closed - Opened by jdb78 almost 2 years ago
#1373 - "The operator 'aten::upsample_linear1d.out' is not currently implemented for the MPS device." while trying to run TFT on M2 silicon
Issue -
State: open - Opened by czarobxm almost 2 years ago
- 3 comments
#1372 - update dependencies
Pull Request -
State: closed - Opened by jdb78 almost 2 years ago
- 1 comment
#1371 - N steps ahead forecasting
Issue -
State: open - Opened by erl61 almost 2 years ago
- 1 comment
#1370 - Decode groupIDs and targets
Issue -
State: open - Opened by dorienh almost 2 years ago
- 3 comments
#1368 - Non-text categories
Issue -
State: open - Opened by jwezel almost 2 years ago
- 1 comment
#1367 - Don't I need to retrain after validating TFT model?
Issue -
State: open - Opened by iba13001 almost 2 years ago
#1366 - Fix error when handing over trainer_kwargs to predict_depency()
Pull Request -
State: closed - Opened by jurgispods almost 2 years ago
- 1 comment
#1365 - RNN predictions seem to be offset by however long the prediction length is
Issue -
State: open - Opened by w-biggs almost 2 years ago
#1364 - Support for variable length timeseries
Issue -
State: open - Opened by garethmd almost 2 years ago
- 1 comment
#1363 - optimize_hyperparameters appears to hang – no output
Issue -
State: open - Opened by jambudipa almost 2 years ago
- 2 comments
#1362 - RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn. When refitting with updated data.
Issue -
State: open - Opened by DaniloMendezR almost 2 years ago
- 5 comments
#1361 - Questions about using TFT
Issue -
State: open - Opened by YUKUN-XIAO almost 2 years ago
- 5 comments
#1360 - Get an error when creating dataset,how to fix it?
Issue -
State: open - Opened by Lookforworld almost 2 years ago
- 4 comments
#1359 - Bug Fix for #1071: NHiTs encoder/decoder covariate size difference bug
Pull Request -
State: closed - Opened by bendavidsteel almost 2 years ago
- 3 comments
#1358 - stallion example - may you recheck if it is mistaken averaging by month since it causes data leaking
Issue -
State: open - Opened by Sandy4321 almost 2 years ago
#1357 - Bugfix: handle case where 'losses' is a list of tensors
Pull Request -
State: open - Opened by TeodorChiaburu almost 2 years ago
- 1 comment
#1356 - `QuantileLoss` Passes Unsupported `quantiles` Argument to Parent Class `MultiHorizonMetric`
Issue -
State: open - Opened by B-Deforce almost 2 years ago
#1355 - Improper Initialization of Loss Metrics Derived from `MultiHorizonMetric` when Moving from GPU to CPU
Issue -
State: open - Opened by B-Deforce almost 2 years ago
#1354 - Issue with TFT generating empty features in torch/nn/modules/linear.py
Issue -
State: closed - Opened by Loggy48 about 2 years ago
- 2 comments
#1353 - fix api bugs and different devices calculation bug
Pull Request -
State: closed - Opened by jacktang about 2 years ago
- 2 comments
#1352 - SMAPE() Expected all tensors to be on the same device
Issue -
State: closed - Opened by jacktang about 2 years ago
- 1 comment
#1351 - Multi-GPU training results in "ProcessExitedException process 0 terminated with signal SIGSEGV" exception for Baseline and TFT models.
Issue -
State: closed - Opened by joseph-mcdonald about 2 years ago
- 16 comments
#1349 - TFT assertion error when tuning the learning rate for missing loss tensor
Issue -
State: closed - Opened by anita-clement about 2 years ago
- 1 comment
#1348 - QuantileLoss with every List not containing the 0.5 Quantile
Issue -
State: open - Opened by Beich2010 about 2 years ago
#1347 - Add learning rate schedule
Issue -
State: open - Opened by dancivitarese about 2 years ago
#1346 - [CHORE] Fixed Python docstring for `TimeSeriesDataSet` object
Pull Request -
State: closed - Opened by andre-marcos-perez about 2 years ago
- 1 comment
#1345 - TFT prediction at inference time for unseen entity key fails
Issue -
State: open - Opened by andre-marcos-perez about 2 years ago
- 6 comments
#1344 - Adding more transformer based models?
Issue -
State: open - Opened by gabriead about 2 years ago
#1343 - "boolean value of na is ambiguous" when using NaNLabelEncoder with pd.NA values
Issue -
State: open - Opened by jurgispods about 2 years ago
- 1 comment
#1342 - Version update on conda-forge (1.0.0 & 0.10.3)
Issue -
State: open - Opened by Tatosx2 about 2 years ago
#1341 - Handling Interrupted Series
Issue -
State: open - Opened by DonLeif about 2 years ago
#1340 - Add None as valid type for target_normalizer
Pull Request -
State: closed - Opened by tmct about 2 years ago
- 2 comments
#1338 - How to combine multiple models and train them with pl.Trainer.fit in pytorch_forecasting?
Issue -
State: open - Opened by badiaog about 2 years ago
#1336 - Decoding to get the original x and y back
Issue -
State: open - Opened by dorienh about 2 years ago
- 2 comments
#1335 - Classification with LSTM tutorial - AssertionError: Only covariate should be in 'time_varying_unknown_reals'
Issue -
State: open - Opened by dorienh about 2 years ago
#1334 - Is there a get started example for LSTM?
Issue -
State: open - Opened by Med-Rokaimi about 2 years ago
- 1 comment
#1333 - feature request: support for time-event data
Issue -
State: open - Opened by HananInfiniGrow about 2 years ago
#1332 - Temporal Fusion Transformer gives constant prediction
Issue -
State: open - Opened by manitadayon about 2 years ago
- 40 comments
#1331 - Questions about fine-tuning a DeepAR model
Issue -
State: open - Opened by jambudipa about 2 years ago
- 2 comments
#1330 - Classification with FusionTransformer - AttributeError: 'NaNLabelEncoder' object has no attribute 'classes_'
Issue -
State: open - Opened by dorienh about 2 years ago
- 2 comments
#1329 - How to apply scaler from training set on test set
Issue -
State: open - Opened by dorienh about 2 years ago
- 2 comments
#1328 - Partial import of sklearn during the build process - upon pip install
Issue -
State: open - Opened by dorienh about 2 years ago
- 3 comments
#1327 - Unraveling the Complexities of Temporal Fusion Transformer (TFT) to ONNX Conversion using Stallion.py: A Journey towards Effective Inference Execution
Issue -
State: closed - Opened by traderpedroso about 2 years ago
- 4 comments
#1326 - TimeSeriesDataSet shows 'too many indexers ' error when having more than 2 group_ids
Issue -
State: open - Opened by cairo-liu-gap about 2 years ago
#1324 - Prediction on new data!
Issue -
State: closed - Opened by DneprDVA about 2 years ago
#1323 - Question about the sample DeepAR model
Issue -
State: open - Opened by jambudipa about 2 years ago
#1322 - Huge Memory Consumption for TFT & Small Dataset
Issue -
State: open - Opened by vilorel about 2 years ago
- 5 comments
#1321 - [TFT] NaN forecasts for series of length 1 with GroupNormalizer
Issue -
State: open - Opened by Antoine-Schwartz about 2 years ago
- 4 comments
#1320 - RuntimeError: Sizes of tensors must match except in dimension 1
Issue -
State: open - Opened by Hiderdk about 2 years ago
- 12 comments
#1319 - No module named 'pytorch_lightning.core.lightning'
Issue -
State: open - Opened by jambudipa about 2 years ago
- 13 comments
#1318 - Bugfix, weights shape during length randomization
Pull Request -
State: closed - Opened by bohdan-safoniuk about 2 years ago
- 1 comment
#1316 - Predicted output length for new test data is not correct (How do you define newly test data to the model)
Issue -
State: open - Opened by manitadayon about 2 years ago
- 5 comments
#1315 - TemporalFusionTransformer logging active during prediction by Default
Issue -
State: closed - Opened by vilorel about 2 years ago
- 3 comments
#1314 - Multiple Target Prediction Plotting Bug
Issue -
State: open - Opened by terbed about 2 years ago
#1313 - Data scaling question
Issue -
State: open - Opened by sanjuuno about 2 years ago
#1312 - Custom Value Transformation for Normalizers
Issue -
State: open - Opened by Nephdz about 2 years ago
#1311 - Error selecting device when executing prediction - M1
Issue -
State: open - Opened by CBeckerUPC about 2 years ago
- 1 comment
#1310 - 'nth' is not a valid function name for transform(name)
Issue -
State: open - Opened by haopengcu about 2 years ago
- 1 comment
#1309 - RuntimeError: index_add(): Expected non int64 dtype for source.
Issue -
State: open - Opened by erl61 about 2 years ago
- 6 comments
#1308 - TemporalFusionTransformer cannot predict shorter prediction horizons than max_prediction_len.
Issue -
State: open - Opened by paulinebellingmo about 2 years ago
- 1 comment
#1307 - How to rescale the normalized prediction from NHITS model ?
Issue -
State: open - Opened by Hvsk22 about 2 years ago
#1306 - AssertionError: only regression tasks are supported - target must not be categorical
Issue -
State: closed - Opened by manitadayon about 2 years ago
#1305 - Not updated on conda-forge
Issue -
State: open - Opened by apd-evalentine about 2 years ago
#1304 - Validation DataLoader speed deteriorates significantly
Issue -
State: open - Opened by zhh210 about 2 years ago
#1302 - model retrieval and early stopping for hyperparameter tuning
Issue -
State: open - Opened by Metaming about 2 years ago
#1301 - [MNT] Python v3.11 support
Issue -
State: closed - Opened by melanopsis about 2 years ago
- 5 comments
Labels: enhancement, maintenance
#1300 - How to use tft to predict categorical data? I am trying to predict the category to which an ad_id will belong to which changes on a daily basis
Issue -
State: open - Opened by RohanBolusani about 2 years ago
#1299 - KeyError when plotting predictions by variable for TFT with added lags
Issue -
State: open - Opened by jzicker about 2 years ago
- 1 comment
#1298 - TFT as autoencoder to extract latent representation of data
Issue -
State: open - Opened by fbalobanov over 2 years ago
#1297 - Resuming training gives different model result / weights
Issue -
State: open - Opened by hiandersson over 2 years ago
#1296 - TorchNormalizer.transform should expand normalization variables according to their type (numpy/torch)
Issue -
State: open - Opened by antolu over 2 years ago
#1295 - How to use DeepVAR Model with a multivariate time sereis
Issue -
State: open - Opened by FunkyFabe over 2 years ago
- 3 comments
#1294 - gradient of LSTM in DeepAR is too tiny
Issue -
State: open - Opened by innocezz over 2 years ago
#1293 - Long-term Forecasting
Issue -
State: open - Opened by NudnikShpilkis over 2 years ago
#1291 - Scikit learn transformer's fit function does not have 'overwrite' option
Issue -
State: closed - Opened by mmkamani7 over 2 years ago
- 1 comment
#1290 - optimize_hyperparameters for TFT is not pruning
Issue -
State: open - Opened by grosestq over 2 years ago
#1289 - 'encoder_features' referenced before assignment
Pull Request -
State: closed - Opened by orangehe over 2 years ago
- 1 comment
#1288 - Type error when trying run trainer.fit with tft
Issue -
State: open - Opened by jzicker over 2 years ago
- 14 comments
#1287 - Spotted a typo.
Pull Request -
State: closed - Opened by maartensukel over 2 years ago
- 1 comment