From 0a315b3d484ed1bab0cec91474e95ddab9ed05f7 Mon Sep 17 00:00:00 2001 From: gorold Date: Thu, 3 Nov 2022 10:46:29 +0800 Subject: [PATCH] corrected ILI horizon lengths --- README.md | 2 +- experiments/configs/ILI/{96M.gin => 24M.gin} | 2 +- experiments/configs/ILI/{192M.gin => 36M.gin} | 2 +- experiments/configs/ILI/{336M.gin => 48M.gin} | 2 +- experiments/configs/ILI/{720M.gin => 60M.gin} | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) rename experiments/configs/ILI/{96M.gin => 24M.gin} (96%) rename experiments/configs/ILI/{192M.gin => 36M.gin} (96%) rename experiments/configs/ILI/{336M.gin => 48M.gin} (96%) rename experiments/configs/ILI/{720M.gin => 60M.gin} (96%) 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