fmcquillan99 commented on pull request #518:
URL: https://github.com/apache/madlib/pull/518#issuecomment-715643042
(100)
error msg
```
madlib=# SELECT madlib.madlib_keras_automl('iris_train_packed',
-- source table
madlib(# 'automl_output',
-- model output table
madlib(# 'model_arch_library',
-- model architecture table
madlib(# 'automl_mst_table',
-- model selection output table
madlib(# ARRAY[1,2],
-- model IDs
madlib(# $${
madlib$# 'loss':
['categorical_crossentropy'],
madlib$# 'optimizer_params_list': [
madlib$# {'optimizer':
['Adam'],'lr': [0.001, 0.1, 'log']},
madlib$# {'optimizer':
['RMSprop'],'lr': [0.001, 0.1, 'log']}
madlib$# ],
madlib$# 'metrics': ['accuracy']
madlib$# } $$,
-- compile param grid
madlib(# $${'batch_size': [4, 8],
'epochs': [1]}$$, -- fit params grid
madlib(# 'hyperband',
-- autoML method
madlib(# 'num_configs=6, num_iterations=3,
algorithm=rand', -- autoML params
madlib(# NULL,
-- random state
madlib(# NULL,
-- object table
madlib(# FALSE,
-- use GPUs
madlib(# 'iris_test_packed',
-- validation table
madlib(# 1,
-- metrics compute freq
madlib(# NULL,
-- name
madlib(# NULL);
-- descr
ERROR: ValueError: invalid literal for int() with base 10: 'rand'
(plpython.c:5038)
CONTEXT: Traceback (most recent call last):
PL/Python function "madlib_keras_automl", line 23, in <module>
schedule_loader =
madlib_keras_automl_hyperband.AutoMLHyperband(**globals())
PL/Python function "madlib_keras_automl", line 164, in __init__
PL/Python function "madlib_keras_automl", line 174, in
validate_and_define_inputs
PL/Python function "madlib_keras_automl"
```
this message confused me for awhile till I realized I asked for hyperband
but gave hyperopt params accidentally
(101)
error msg
```
madlib=# SELECT madlib.madlib_keras_automl('iris_train_packed',
-- source table
madlib(# 'automl_output',
-- model output table
madlib(# 'model_arch_library',
-- model architecture table
madlib(# 'automl_mst_table',
-- model selection output table
madlib(# ARRAY[1,2],
-- model IDs
madlib(# $${
madlib$# 'loss':
['categorical_crossentropy'],
madlib$# 'optimizer_params_list': [
madlib$# {'optimizer':
['Adam'],'lr': [0.001, 0.1, 'log']},
madlib$# {'optimizer':
['RMSprop'],'lr': [0.001, 0.1, 'log']}
madlib$# ],
madlib$# 'metrics': ['accuracy']
madlib$# } $$,
-- compile param grid
madlib(# $${'batch_size': [4, 8],
'epochs': [1]}$$, -- fit params grid
madlib(# 'hyperopt',
-- autoML method
madlib(# 'R=9, eta=3, skip_last=0',
-- autoML params
madlib(# NULL,
-- random state
madlib(# NULL,
-- object table
madlib(# FALSE,
-- use GPUs
madlib(# 'iris_test_packed',
-- validation table
madlib(# 1,
-- metrics compute freq
madlib(# NULL,
-- name
madlib(# NULL);
-- descr
ERROR: plpy.Error: madlib_keras_automl: skip_last is an invalid automl
param (plpython.c:5038)
CONTEXT: Traceback (most recent call last):
PL/Python function "madlib_keras_automl", line 45, in <module>
schedule_loader =
madlib_keras_automl_hyperopt.AutoMLHyperopt(**globals())
PL/Python function "madlib_keras_automl", line 69, in __init__
PL/Python function "madlib_keras_automl", line 115, in
validate_and_define_inputs
PL/Python function "madlib_keras_automl"
```
likewise this could be improved if I asked for hyperopt but gave hyperband
params accidentally. Because skip_last is valid but only for hyberband.
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