The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.
Requirement Text Explore using Tensorflow Timeseries Generator feature for LSTM __pre_process_data
Background Information LSTM currently preprocesses data manually. https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/sequence/TimeseriesGenerator provides tools for doing this
see also keras.preprocessing.timeseries_dataset_from_array() from https://keras.io/examples/timeseries/timeseries_weather_forecasting/
Note- those above are deprecated- look for alternative Something like this: https://www.tensorflow.org/api_docs/python/tf/keras/utils/timeseries_dataset_from_array
Suggested Solution https://www.tensorflow.org/api_docs/python/tf/keras/utils/timeseries_dataset_from_array
DoD