How to prepare this data for the LSTM? (input_shape)

Question

I have a large dataset, similar to the following:

Time Measurement Result
1    3.5         1
2    -5.0        2
3    3.0         1
4    3.2         5
5    -2.0        2 

I drop the time column because it is uniform, and then, i intend to correlate the Measurement to the Result, using a LSTM model, but mostly of the guides and tutorials in the internet uses the Measurement to forecast a future Measurement, so how can i prepare this data to given Measurement it tries to determine the Result?

Answer 1

Maybe you can try indexing by measurement first.

df.set_index('Measurement',inplace=True)

Then you fit your model Finally, during prediction, you can use

input_values=df['measurement']

do the prediction Hope this helps