Comments (5)
No. The output file is at training/DatasetName__RunName_Date_Time/out.pkl
. You can easily load this file with pickle and plot the output.
from ts2vec.
Thanks
What is the format of data?
After loading my data has the length of 5
What does it mean? Number of prediction time steps?
from ts2vec.
Thanks
What is the format of data?
After loading my data has the length of 5
What does it mean? Number of prediction time steps?
It means the prediction horizon (e.g. 24,48,168,336,720). Check the code in /tasks/forecasting.py for more details.
out_log[pred_len] = {
'norm': test_pred,
'raw': test_pred_inv,
'norm_gt': test_labels,
'raw_gt': test_labels_inv
}
from ts2vec.
I have just look at your source code.
After training I want to use the trained model, e.g. for prediction of time series x0,x1, x2, ... xN by prediction horizon of 10.
How can I call it in the loop?
pseudo-code look like:
for i = 1: N
currentData = x[i]
// get prediction data xpred at (i + prediction_horizon)
end
Thanks
from ts2vec.
Hi,
Can you share the code if you were able to figure it out?
from ts2vec.
Related Issues (20)
- 下游任务相关问题?
- The dataset about ETT HOT 2
- Question on Instance Constrastive-Loss
- Q: Multivariate time-series regression HOT 1
- prediction part
- ETTh1 data dimension mismatch problem HOT 2
- 在得到数据的表征后,比如分类数据,相同类数据得到的表征相似度会比非同类高吗? HOT 1
- Suitability of ts2vec Framework for Lengthy Mono Audio Waveforms HOT 1
- Incorrect results when using MPS backend (MacOS)
- Pretrained model loading problem HOT 1
- Evaluate code for univariate forcasting task maybe is not right. There is information leaking. HOT 4
- Evaluate code for univariate forecasting task maybe there is information leaking. HOT 7
- 关于损失函数的问题
- 如何接续训练呢?
- ts2vec additional use case for non-uniformly sampled ts input
- Unexpected evaluation results with zeroed Loss (anomaly detection) HOT 2
- retrain a model after loading
- question regarding the implementation of instance contrastive loss
- Question on Yahoo.sh
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