diff --git a/README.md b/README.md index 8656169..0bc0c3a 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ Official PyTorch code repository for the [DeepTime paper](https://arxiv.org/abs/ non-stationary time-series forecasting. * Experiments on real world datases in the long sequence time-series forecasting setting demonstrates that DeepTime achieves competitive results with state-of-the-art methods and is highly efficient. - + ## Requirements Dependencies for this project can be installed by: diff --git a/experiments/configs/ILI/96M.gin b/experiments/configs/ILI/24M.gin similarity index 96% rename from experiments/configs/ILI/96M.gin rename to experiments/configs/ILI/24M.gin index 905acc6..80d53c5 100644 --- a/experiments/configs/ILI/96M.gin +++ b/experiments/configs/ILI/24M.gin @@ -33,5 +33,5 @@ ForecastDataset.cross_learn = False ForecastDataset.time_features = [] ForecastDataset.normalise_time_features = True ForecastDataset.features = 'M' -ForecastDataset.horizon_len = 96 +ForecastDataset.horizon_len = 24 ForecastDataset.lookback_mult = 9 diff --git a/experiments/configs/ILI/192M.gin b/experiments/configs/ILI/36M.gin similarity index 96% rename from experiments/configs/ILI/192M.gin rename to experiments/configs/ILI/36M.gin index e197be1..46632ea 100644 --- a/experiments/configs/ILI/192M.gin +++ b/experiments/configs/ILI/36M.gin @@ -33,5 +33,5 @@ ForecastDataset.cross_learn = False ForecastDataset.time_features = [] ForecastDataset.normalise_time_features = True ForecastDataset.features = 'M' -ForecastDataset.horizon_len = 192 +ForecastDataset.horizon_len = 36 ForecastDataset.lookback_mult = 7 diff --git a/experiments/configs/ILI/336M.gin b/experiments/configs/ILI/48M.gin similarity index 96% rename from experiments/configs/ILI/336M.gin rename to experiments/configs/ILI/48M.gin index 2082467..2a41998 100644 --- a/experiments/configs/ILI/336M.gin +++ b/experiments/configs/ILI/48M.gin @@ -33,5 +33,5 @@ ForecastDataset.cross_learn = False ForecastDataset.time_features = [] ForecastDataset.normalise_time_features = True ForecastDataset.features = 'M' -ForecastDataset.horizon_len = 336 +ForecastDataset.horizon_len = 48 ForecastDataset.lookback_mult = 5 diff --git a/experiments/configs/ILI/720M.gin b/experiments/configs/ILI/60M.gin similarity index 96% rename from experiments/configs/ILI/720M.gin rename to experiments/configs/ILI/60M.gin index 7957542..45a06c4 100644 --- a/experiments/configs/ILI/720M.gin +++ b/experiments/configs/ILI/60M.gin @@ -33,5 +33,5 @@ ForecastDataset.cross_learn = False ForecastDataset.time_features = [] ForecastDataset.normalise_time_features = True ForecastDataset.features = 'M' -ForecastDataset.horizon_len = 720 +ForecastDataset.horizon_len = 60 ForecastDataset.lookback_mult = 3