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Does the data only have categorical inputs? #35

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francisduan opened this issue Mar 11, 2020 · 6 comments
Closed

Does the data only have categorical inputs? #35

francisduan opened this issue Mar 11, 2020 · 6 comments

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@francisduan
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I have noticed that most of the input entries are zero, and I am wondering if the attached dataset has any numerical inputs (sensor readings, etc.)? If there is, are you using them with one-hot encodings directly?

@khundman
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Yes the telemetry channel's recent history is included. See the 'Data' section in the Readme for more details.

@francisduan
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Hi thanks for the reply. But my question was whether you are using numerical values and one-hot encoding values together?

Does it make sense to separate the two? Since numerical values might have very different latent information compared with categorical values

@khundman
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Yes they are used together, this is shown here:

image

There's more discussion in my response to Q3 in #8 as well as in the paper.

It definitely could make sense to separate the two.

@francisduan
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Thanks a lot for this, sorry I did not realize the original y is also an input.

So the algorithm is transforming a Multivariate time series (MTS) into a univariate one (output y hat), with the target y included in the MTS as well. Is this correct?

@khundman
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This is explained in the "Methods" section in the paper:

image

Prior values of y are inputs for the prediction of the current y value.

@francisduan
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ok thank you

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