rnjv

I got the following error: Add-AppxPackage : Deployment failed with HRESULT: 0x80073CFD, A Prerequisite for an install could not be satisfied. Windows cannot install package MicrosoftCorporationII.WindowsSubsystemForAndroid_2206.40000.15.0_x64__8wekyb3d8bbwe because this package is...

Will core.fit and retraining by batches reduce the memory requirements, currently memory requirements looks heavy.

Is doing something like this reliable when GPU memory is a constraint? ``` nf = NeuralForecast(models=models, freq='1min') for i in range(0,df.shape[0], 60000): dft = df[i:i+60000-1].copy() nf.fit(df=dft) ```

> Hey @rnjv, > > To save and retrain a model you can use `core.save` and `core.load` methods. Here is a [save and load tutorial](https://nixtla.github.io/neuralforecast/examples/save_load_models.html). > > Calling a `core.fit`...