feat: add fnn functionality #529
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Want to merge this and Lars isnt available to approve changes
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## [0.20.0](v0.19.0...v0.20.0) (2024-04-03) ### Features * add deterministic hash methods to all types ([#573](#573)) ([f6a3ca7](f6a3ca7)) * add fnn functionality ([#529](#529)) ([ce53153](ce53153)), closes [#522](#522) * add suffixes to models to indicate their task ([#588](#588)) ([d490dee](d490dee)) * added lag_plot ([#548](#548)) ([0fb38d2](0fb38d2)), closes [#519](#519) * added normal plot for time series ([#550](#550)) ([dbdf11e](dbdf11e)), closes [#549](#549) * when using from table to time series feature must be given ([#572](#572)) ([ca23f0f](ca23f0f)), closes [#571](#571) ### Bug Fixes * incorrect type hint for `number_of_bins` parameter ([#567](#567)) ([b434e53](b434e53)) * mark various API elements as internal ([#587](#587)) ([ea176fc](ea176fc)), closes [#582](#582) [#585](#585)
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Closes #522
Summary of Changes
Added Model and layer classes to support Feed Forward Neural Network Functionality.
Added into_dataloader() Function in TaggedTable Class, that creates a pytorch dataloader for any given tagged table, which can then be used to train a FNN.
Tests for those modules are probably incomplete, as i wasnt really sure what to test for, could use some feedback there.