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Fix NoneType object bug in Metis #814

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merged 22 commits into from
Mar 6, 2019
Merged

Fix NoneType object bug in Metis #814

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17ac8cb
add different tuner config files for config_test
Feb 19, 2019
b6f2c56
change MetisTuner config test due to no lightgbm python module in int…
Feb 20, 2019
b3afb3a
install smac package in azure-pipelines
Feb 20, 2019
1b850df
SMAC need swig to be installed
Feb 20, 2019
130dec7
Try to install swig from source code
Feb 20, 2019
1504034
remove SMAC test because the dependency can not be installed
Feb 21, 2019
1d55da4
Merge branch 'master' of https://github.com/Microsoft/nni
Feb 21, 2019
ee26306
use sudo to install the swig
Feb 21, 2019
fdca615
sleep 10s to make sure the port has been released
Feb 22, 2019
eae6265
remove tuner test for networkmorphism because it uses more than 30s t…
Feb 22, 2019
6cdf264
word "down" to "done"
Feb 22, 2019
55b5e3c
add config test for Curvefitting assessor
Feb 22, 2019
94430b8
change file name
Feb 22, 2019
ac00024
Merge branch 'master' of https://github.com/Microsoft/nni
Feb 25, 2019
a43b1ba
Fix data type not match bug
Mar 4, 2019
d87ae8c
Optimize MetisTunner
Mar 4, 2019
48e5df3
Merge branch 'master' of https://github.com/Microsoft/nni
Mar 4, 2019
74cdcf8
pretty the code
Mar 4, 2019
7c999c3
Follow the review comment
Mar 5, 2019
dce983e
add exploration probability
Mar 5, 2019
30bfa10
Avoid None type object generating
Mar 5, 2019
680ea9a
Merge branch 'master' of https://github.com/Microsoft/nni
Mar 5, 2019
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14 changes: 9 additions & 5 deletions src/sdk/pynni/nni/metis_tuner/metis_tuner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,7 @@ def __init__(self, optimize_mode="maximize", no_resampling=True, no_candidates=T
self.samples_x = []
self.samples_y = []
self.samples_y_aggregation = []
self.history_parameters = set()
self.history_parameters = []
self.space = None
self.no_resampling = no_resampling
self.no_candidates = no_candidates
Expand Down Expand Up @@ -131,7 +131,7 @@ def update_search_space(self, search_space):
except Exception as ex:
logger.exception(ex)
raise RuntimeError("The format search space contains \
some key that didn't define in key_order." )
some key that didn't define in key_order." )

if key_type == 'quniform':
if key_range[2] == 1:
Expand Down Expand Up @@ -386,7 +386,7 @@ def _selection(self, samples_x, samples_y_aggregation, samples_y,

if next_improvement > temp_improvement:
logger.info("DEBUG: \"next_candidate\" changed: \
lowest mu might reduce from %f (%s) to %f (%s), %s\n" %\
lowest mu might reduce from %f (%s) to %f (%s), %s\n" %\
lm_current['expected_mu'], str(lm_current['hyperparameter']),\
threads_result['expected_lowest_mu'],\
str(threads_result['candidate']['hyperparameter']),\
Expand All @@ -412,8 +412,12 @@ def _selection(self, samples_x, samples_y_aggregation, samples_y,
outputs = self._pack_output(lm_current['hyperparameter'])
ap = random.uniform(0, 1)
if outputs in self.history_parameters or ap<=self.exploration_probability:
outputs = self._pack_output(next_candidate['hyperparameter'])
self.history_parameters.add(outputs)
if next_candidate is not None:
outputs = self._pack_output(next_candidate['hyperparameter'])
else:
random_parameter = _rand_init(self.x_bounds, self.x_types, 1)[0]
outputs = self._pack_output(random_parameter)
self.history_parameters.append(outputs)
return outputs


Expand Down