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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, I would like to try custom classifier for MiniRocket, as in the example is using linear classifier. Is there a way to put some other classifier, for example some...
In this framework rocket and minirocket have the torch version but for the multirocket i only see that it have multirocket plus which is written in torch but i noticed...
Hi, is it possible to train transformer in self-superised way? since I need to initiate TST with number of class which I dont have. thank you regards
Conectar el clustering de timeseries de tsai al forecaster. tsai para clusterin g y forecaster para hypertuning y forecast de todas las series cluster por cluster
from tsai.basics import * --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[52], line 1 ----> 1 from tsai.basics import * File /opt/conda/lib/python3.10/site-packages/tsai/basics.py:5 3 from .imports import * 4 from...
I have a time series dataframe containing 80 features, 29922 rows, and the idea was to first use MINIROCKET for feature creation, and then use a linear regressor to reconstruct...
When performing multi-label classificatioin, the shape of input is (14400, 1) and the output is (14400, 4). However, it raised the error. I am wondering how I can fix this...
https://github.com/optuna/optuna-examples/blob/main/multi_objective/botorch_simple.py According to optuna examples, I passed in the list. ``` --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[193], line 29 26 mae=mean_absolute_error(test_y, test_preds) 27 return mae ---> 29...