Timeseries Input To An Lstm

I have dataset containing water samples collected from different locations. For example, ABC1 water sample is taken from a river in Arizona and ABC2 is a water sample taken from a

Solution 1:

Looking at the docs,tf.keras.preprocessing.sequence.TimeseriesGenerator cannot take a dictionary as the first argument. The 'slice' error is just a manifestation of that fact, as the function tries to use slices of the first argument (dict) and fails. again from the docs:

Arguments: data: Indexable generator (such as list or Numpy array) containing consecutive data points (timesteps).

so perhaps you want to pass input_dict['ABC1'] or possibly input_dict['ABC1'].values