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From GitBox <...@apache.org>
Subject [GitHub] [madlib] Advitya17 edited a comment on pull request #518: DL: [AutoML] Add support for Hyperopt on top of MOP for MPP + AutoML best-so-far
Date Tue, 13 Oct 2020 00:01:37 GMT

Advitya17 edited a comment on pull request #518:
URL: https://github.com/apache/madlib/pull/518#issuecomment-707400603


   > I don't see it in there
   > 
   > ```
   > \d hopt_cifar10_output_summary_c100n3tperun1;
   >       Table "public.hopt_cifar10_output_summary_c100n3tperun1"
   >           Column           |            Type             | Modifiers 
   > ---------------------------+-----------------------------+-----------
   >  source_table              | text                        | 
   >  validation_table          | text                        | 
   >  model                     | text                        | 
   >  model_info                | text                        | 
   >  dependent_varname         | text                        | 
   >  independent_varname       | text                        | 
   >  model_arch_table          | text                        | 
   >  model_selection_table     | text                        | 
   >  automl_method             | text                        | 
   >  automl_params             | text                        | 
   >  random_state              | text                        | 
   >  object_table              | text                        | 
   >  use_gpus                  | boolean                     | 
   >  metrics_compute_frequency | integer                     | 
   >  name                      | text                        | 
   >  description               | text                        | 
   >  start_training_time       | timestamp without time zone | 
   >  end_training_time         | timestamp without time zone | 
   >  madlib_version            | text                        | 
   >  num_classes               | integer                     | 
   >  class_values              | text[]                      | 
   >  dependent_vartype         | text                        | 
   >  normalizing_const         | real                        | 
   > ```
   
   Okay, in that case I suppose I used the summary table format used earlier in Hyperband
(instead of the fit multiple one, which includes the metrics iters). 
   I suppose the column can be added in the summary table generation function where its value
is populated by the temp summary table from the fit multiple call. 


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