fireTS
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jxx123
A python multi-variate time series prediction library working with sklearn
Hi, I am just wondering after playing around with the package using my own dataset. I split the data into training and the last 180 data as testing dataset. The...
In File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/fireTS/models.py", line 3. from sklearn.metrics.regression import r2_score, mean_squared_error It raised a moduleNotFoundError: No module named 'sklearn.metrics.regression'. The enviroment is: Ubuntu18.04, python3.8.12, scikit-learn 1.0.2; numpy 1.19.5; scipy 1.8.0
HI developer, Thanks for developing this package. May I ask how to read the training model details? For example, I use XGboost model as the estimator and put into the...
when iam trying to fit LSTM in NARX architecture it showing error like 'lstm does not have set_parameters' brother could you please add some example code to fit LSTM in...
Hi Jinyu, Regarding the [update](https://github.com/jxx123/fireTS/blob/3d1abb051003a1327b31e721acea796cbbd62c39/fireTS/utils.py#L42) in `OutputLagFeatureProcessor`, perhaps a little off-topic, but I wonder what would be more memory efficient other than `deque` here? Thanks!
Hi. I want to create a NARX (Nonlinear Autoregressive with exogenous variables) model based on LM (Levenberg Marquardt) method. Since this two method are not implemented in keras, I search...
Why the forecast method need the target value? mdl1.predict(x, y, step=3)
I know that there is a way for training a MIMO system by training multiple MISO systems and get multiple models. But is there any way to get only a...
Hi, the package looks very fantastic to predict time series data. I was wondering if it is possible to implement it in an online training.
