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Posted to dev@madlib.apache.org by GitBox <gi...@apache.org> on 2021/02/23 01:39:49 UTC

[GitHub] [madlib] fmcquillan99 commented on pull request #534: DL: Various docs changes

fmcquillan99 commented on pull request #534:
URL: https://github.com/apache/madlib/pull/534#issuecomment-783803053


   @orhankislal 
   
   missing 'loss_type' in output table from
   .../workspace/madlib/build_docker/doc/user/html/group__grp__keras.html#keras_fit
   
   I think we missed this in 
   https://github.com/apache/madlib/pull/511
   where we added to info table for multi_fit() but forgot fit()
   
   can you add it in please?  thx
   
   ```
   -[ RECORD 1 ]-------------+--------------------------------------------------------------------------
   source_table              | iris_train_packed
   model                     | iris_model
   dependent_varname         | {class_text}
   independent_varname       | {attributes}
   model_arch_table          | model_arch_library
   model_id                  | 1
   compile_params            |  loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'] 
   fit_params                |  batch_size=5, epochs=3 
   num_iterations            | 10
   validation_table          | 
   object_table              | 
   metrics_compute_frequency | 10
   name                      | 
   description               | 
   model_type                | madlib_keras
   model_size                | 0.7900390625
   start_training_time       | 2021-02-22 22:39:59.223927
   end_training_time         | 2021-02-22 22:40:02.695402
   metrics_elapsed_time      | {3.47141289710999}
   madlib_version            | 1.18.0-dev
   num_classes               | {3}
   dependent_vartype         | {"character varying"}
   normalizing_const         | 1
   metrics_type              | {accuracy}
   loss_type				  | xxxyyyzzz                        <- **** missing ****
   training_metrics_final    | 0.833333313465118
   training_loss_final       | 0.745647132396698
   training_metrics          | {0.833333313465118}
   training_loss             | {0.745647132396698}
   validation_metrics_final  | 
   validation_loss_final     | 
   validation_metrics        | 
   validation_loss           | 
   metrics_iters             | {10}
   class_text_class_values   | {Iris-setosa,Iris-versicolor,Iris-virginica}
   ```


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