fmcquillan99 edited a comment on pull request #506:
URL: https://github.com/apache/madlib/pull/506#issuecomment-668947847
From my previous comments:
1,2,3,4,5,7 are fixed
6 is OK as is, no fix needed
Additional questions:
(8)
is this the right syntax for an optimizer with no params? i.e., `Adagrad()`
```
optimizer='Adagrad()',metrics=['accuracy'],loss='categorical_crossentropy'
```
(9)
if I did not put an optimizer:
```
DROP TABLE IF EXISTS mst_table, mst_table_summary;
SELECT madlib.generate_model_configs(
'model_arch_library', -- model
architecture table
'mst_table', -- model
selection table output
ARRAY[1,2], -- model
ids from model architecture table
$$
{'loss':
['categorical_crossentropy'],
'optimizer_params_list': [
{'lr': [0.0001, 0.1, 'log']} ],
'metrics': ['accuracy']}
$$, -- compile_param_grid
$$
{ 'batch_size': [8],
'epochs': [1]
}
$$, -- fit_param_grid
'random', -- search_type (‘grid’ or
‘random’, default ‘grid’)
2, -- num_configs (number of
sampled parameters. Default=10) [to limit testing]
NULL, -- random_state
NULL -- object table (Default=None)
);
```
then `SGD` shows up:
```
mst_key | model_id | compile_params
| fit_params
---------+----------+-----------------------------------------------------------------------------------------------+-----------------------
1 | 1 |
optimizer='SGD(lr=0.002963575680717671)',metrics=['accuracy'],loss='categorical_crossentropy'
| epochs=1,batch_size=8
2 | 2 |
optimizer='SGD(lr=0.027802557490831045)',metrics=['accuracy'],loss='categorical_crossentropy'
| epochs=1,batch_size=8
(2 rows)
```
Do we do that or does Keras do that?
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