fmcquillan99 commented on pull request #534:
URL: https://github.com/apache/madlib/pull/534#issuecomment-784564784
yes looks good now with `loss_type` in summary output
```SELECT * FROM iris_model_summary;
-[ 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 | 2021-02-23 22:33:45.814856
end_training_time | 2021-02-23 22:33:49.155229
metrics_elapsed_time | {3.34029412269592}
madlib_version | 1.18.0-dev
num_classes | {3}
dependent_vartype | {"character varying"}
normalizing_const | 1
metrics_type | {accuracy}
loss_type | categorical_crossentropy
training_metrics_final | 0.941666662693024
training_loss_final | 0.362120628356934
training_metrics | {0.941666662693024}
training_loss | {0.362120628356934}
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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