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} ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
