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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
Hi, Thumbs up for the awesome work especially PatchTST. Is there a chance to also include a tutorial code for performing Transfer Learning on the PatchTST pre-trained model using either...
`tfms = [None, TSRegression()] batch_tfms = TSStandardize(by_sample=True, by_var=True) reg = TSRegressor(X_train, y_train, splits=splits, tfms=tfms, arch="TSPerceiver", batch_tfms=batch_tfms, metrics=mae, train_metrics=True, bs=16) File "lib/python3.8/site-packages/tsai/tslearner.py", line 154, in __init__ model = build_ts_model(arch, dls=dls, File...
I am using the [MiniRocket classifier,](https://colab.research.google.com/github/timeseriesAI/tsai/blob/master/tutorial_nbs/10_Time_Series_Classification_and_Regression_with_MiniRocket.ipynb#scrollTo=cj2EXqZJHitT) and trying to perform emotion detection on ~1700 utterances. I've segmented the data into train and test, with about 300-400 utterances in the test...
I was checking out one of the utilities for model explanations. I see two functions (grad_cam and feat_attribution). Is this attribution in any way related to SHAP? I don't see...
This line of code in the init function resets the embedding dimensions so that there is no dimensionality reduction by setting embedding_dims to the dictionary size. If you have 1000...
**Context:** I am using the Flower framework along with a custom gMLP model to perform federated learning. I encountered an issue when trying to use the get_X_preds method with the...
Hey guys! I may have found something wrong with TSSequencer implementation. The model seems to have different output values for the same input values. It seems to have some kind...
Hello, I am trying to get minirocket features of my dataset but when I try it like: from tsai.models.MINIROCKET_Pytorch import * .... window_size = 96 dimensions = 27 //////shape of...
Quite a few models, including MLP but not only, complain of unexpected custom_head in kwargs. I've worked-around it by adding custom_head=None to the affected constructors, and just ignore the parameter....
In the setups() call in TSStandardize with use_single_batch=False (default is True), it calls o = dl.dataset.__getitem__([slice(None)])[0] to get the entire dataset to calculate the mean/std. This causes a crash (python...
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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