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Support models that can input and predict multidimensional tensors #38

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MischaPanch opened this issue Jan 12, 2021 · 1 comment
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@MischaPanch
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This issue is only about setting up models and training, evaluation of such models will be handled in a separate issue. Thus, it is mainly about writing the TensorModel abstraction and some implementations of it.

The goal is to enable training of autoencoders, prediction of 2-dimensional tensors for geospatial analysis and so on.

I am not entirely sure how to deal with models that take multi-dim data and predict scalars like CNN-based classifiers and regressors (a very common use case). VectorModel does not feel like the right fit, nor does TensorModel (because it will focus on tensor-like prediction). @opcode81 Do you have an idea about that?

@MischaPanch MischaPanch self-assigned this Jan 12, 2021
@MischaPanch MischaPanch added this to To do in sensAI Board via automation Jan 12, 2021
@MischaPanch MischaPanch added the enhancement New feature or request label Jan 12, 2021
@MischaPanch MischaPanch moved this from To do to Done in sensAI Board Feb 3, 2021
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MischaPanch commented Feb 15, 2021

Done

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