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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
**Description:** Hello everyone, I've encountered an issue with the `get_splits()` function when using `balance=True` and specifying the `test_size`. It appears that the function does not behave correctly in this scenario....
Hi, I want to qualitatively observe the learned data features and compare the classification results of different models but I have no idea how to get the learned data features....
As the topic suggests, I am highly interested to see if this library can support multivariable time series with channels that have different sampling rate and thus different length within...
Versions in use: IPython : 8.9.0 ipykernel : 6.19.2 ipywidgets : 7.6.5 jupyter_client : 7.4.9 jupyter_core : 5.2.0 jupyter_server : 1.23.4 jupyterlab : 3.5.3 nbclient : 0.5.13 nbconvert : 6.5.4...
# Unlabeled 100% print("Unlabeled 100%") dsid = "transformer" learn = ts_learner(udls100, TSTPlus, cbs=[MVP(target_dir='./data/MVP', fname=f'{dsid}_200')]) learn.fit_one_cycle(40,1e-2) learn.plot_metrics() learn.MVP.show_preds(sharey=True) learn.feature_importance() Traceback (most recent call last): File "H:\20221125\tasi\tsbert.py", line 106, in learn.fit_one_cycle(40,1e-2) File...
Hi @oguiza and thanks again for implementing a SOTA model. Seem to have run into a limitation for PatchTST in which I can't seem to train it for a different...
When trying to set the allowed range of the predictions by passing the `y_range` argument, I noticed that there is no way to set this parameter using tsai API although...
Hello, I am looking to deploy a tsai trained model for inference. I see you created the tsai.inference module for lightweight inference with load_learner. This looks like it will be...
My 15 GB GPU Crashes when making predictions. Upon further reading, (link attached) I found that the function get_X_preds does some very inefficient reloading of gigabytes of data to make...
I am working on a regression problem where I am using `TransformerModel` and `TST` for training. My dataset and model config can be seen below. **Dataset For both models** Window...
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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai