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
File "lib/python3.8/site-packages/tsai/tslearner.py", line 154, in init
model = build_ts_model(arch, dls=dls,
File "/lib/python3.8/site-packages/tsai/models/utils.py", line 200, in build_ts_model
model = arch(c_in, c_out, arch_config, kwargs).to(device=device)
File "lib/python3.8/site-packages/fastcore/meta.py", line 40, in call
res.init(*args,**kwargs)
`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 "/lib/python3.8/site-packages/tsai/models/utils.py", line 200, in build_ts_model model = arch(c_in, c_out, arch_config, kwargs).to(device=device) File "lib/python3.8/site-packages/fastcore/meta.py", line 40, in call res.init(*args,**kwargs)
TypeError: init() missing 1 required positional argument: 'seq_len'`
How to resolve this bug?