PatchTST baselines (channel-independent, standard protocol)
Trained on a free Colab T4 with the exact hyperparameters of the PatchTST paper
(d_model=512, e_layers=3, patch_len=16, stride 8, dropout 0.3, lr 1e-4, patience 3,
lookback 512, horizon 48). Channel-independent: each channel is a separate sample.
Contains
{ds}.pt
+
{ds}.json
for ETTh1, ETTh2, ETTm1, exchange_rate, electricity,
traffic, plus
standard_benchmark.json
(MASE/MAE/MSE/sMAPE under the protocol in
benchmark_standard.py
of the NanoForecast repo).
Runs of eulogik nanoforecast-patchtst-baselines on huggingface.co
27
Total runs
0
24-hour runs
1
3-day runs
-3
7-day runs
1
30-day runs
More Information About nanoforecast-patchtst-baselines huggingface.co Model
More nanoforecast-patchtst-baselines license Visit here:
nanoforecast-patchtst-baselines huggingface.co is an AI model on huggingface.co that provides nanoforecast-patchtst-baselines's model effect (), which can be used instantly with this eulogik nanoforecast-patchtst-baselines model. huggingface.co supports a free trial of the nanoforecast-patchtst-baselines model, and also provides paid use of the nanoforecast-patchtst-baselines. Support call nanoforecast-patchtst-baselines model through api, including Node.js, Python, http.
nanoforecast-patchtst-baselines huggingface.co is an online trial and call api platform, which integrates nanoforecast-patchtst-baselines's modeling effects, including api services, and provides a free online trial of nanoforecast-patchtst-baselines, you can try nanoforecast-patchtst-baselines online for free by clicking the link below.
eulogik nanoforecast-patchtst-baselines online free url in huggingface.co:
nanoforecast-patchtst-baselines is an open source model from GitHub that offers a free installation service, and any user can find nanoforecast-patchtst-baselines on GitHub to install. At the same time, huggingface.co provides the effect of nanoforecast-patchtst-baselines install, users can directly use nanoforecast-patchtst-baselines installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
nanoforecast-patchtst-baselines install url in huggingface.co: