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[ADD] PyTorch embedding layer to reduce memory footprint #451
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            ravinkohli
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                    ravinkohli
  
              
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                    Jul 18, 2022 
                  
              
              
            
            
        
          
                autoPyTorch/api/base_task.py
              
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| self.input_validator: Optional[BaseInputValidator] = None | ||
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| # if search_space_updates is not None else get_search_updates(categorical_indicator) | 
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    | # if search_space_updates is not None else get_search_updates(categorical_indicator) | 
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    * remove remaining differences * Reg cocktails common paper modifications 5 (#418) * add hasttr * fix run summary
…edding) (#437) * add updates for apt1.0+reg_cocktails * debug loggers for checking data and network memory usage * add support for pandas, test for data passing, remove debug loggers * remove unwanted changes * : * Adjust formula to account for embedding columns * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * remove unwanted additions * Update autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/TabularColumnTransformer.py Co-authored-by: nabenabe0928 <[email protected]>
* reduce number of hyperparameters for pytorch embedding * remove todos for the preprocessing PR, and apply suggestion from code review * remove unwanted exclude in test
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Updates embedding layers to pytorch embedding.
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How has this been tested?