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## [0.26.0](v0.25.0...v0.26.0) (2024-05-29) ### Features * `Table.count_row_if` ([#788](#788)) ([4137131](4137131)), closes [#786](#786) * added method to load pretrained models from huggingface ([#790](#790)) ([dd8394b](dd8394b)) * infer input size of forward and LSTM layers ([#808](#808)) ([098a07f](098a07f)) * outline around dots of scatterplot ([#785](#785)) ([ee8acf7](ee8acf7)) * remove output conversions ([#792](#792)) ([46f2f5d](46f2f5d)), closes [#732](#732) * shorten some excessively long names ([#787](#787)) ([1c3ea59](1c3ea59)), closes [#772](#772) * specify column names in constructor of table transformers ([#795](#795)) ([69a780c](69a780c)) * store window size and forecast horizon in dataset ([#794](#794)) ([f07bc5a](f07bc5a)) * string operations on cells ([#791](#791)) ([4a17f76](4a17f76)) ### Bug Fixes * handling of boolean columns in column statistics ([#778](#778)) ([f61cceb](f61cceb)) * sort x values of line plot ([#782](#782)) ([74d8649](74d8649))
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Closes partially #732
Summary of Changes
Output conversions are the exact inversion of the input conversion, so there is no need to specify them again. Now, a neural network only takes an input conversion and a list of layers. This also gets rid of several errors that could occur if input and output conversions did not fit together.
In a later PR, the input conversion will also be removed, since they mirror datasets.