-
Hello, CEEMDAN-BiLSTM does not seem to have uploaded.
-
Can you add support for empirical mode decomposition and hilbert huang transform?
-
Hi,
First, thanks you for your repo ! very good !
But I have a question about the CEEMDAN signal... i think there are a lookhead bias right ? how you manage this bias in live trading ?
Regards…
-
Hi, I was looking for packages which would help me implement CEEMDAN and came across this repository, I was able to produce IMFs from signals but I wanted to make sure that I was doing it the correct …
-
按照第一种方法pip ceemdan-lstm之后,直接调用了import CEEMDAN_LSTM as cl
cl.quick_keras_predict(data=None) 但出现了这样的问题 求解答!!!
![ppp](https://github.com/FateMurphy/CEEMDAN_LSTM/assets/93173393/2b7bd150-4db5-460f-8534-…
-
训练代码如下:
> kr = cl.keras_predictor(PATH='./', NEXT_DAY=True)
df_result = kr.hybrid_keras_predict(data, show=True, plot=True, save=True)
print('-------------------------------df_result-------…
-
I'm trying to use CEEMDAN_LSTM to predict time series
the code report the AttributeError: Can only use .str accessor with string values!
How can I fix this problem
And one more questi…
-
I would like to use your CEEMDAN-GPU implementation on my Windows laptop (which has a CUDA compatible GPU -> GeForceMX150: sm_61).
Could you elaborate **in detail** the different steps required to us…
-
I could be mistaken, but I think you might be incorporating some lookahead since the CEEMDAN decomposition views the entire series.
-
I came across an issue with the `ceemdan()` function parameter setting `num_imfs`. In the documentation, the default values of `num_imfs=0` is said to correspond to a
> maximal number of IMFs
.…
ghost updated
6 years ago