def hyperopt(matrix, configs, metrics):
"""Create suggestions based on hyperopt."""
from polyaxon.polyflow import V1Hyperopt
from polyaxon.polytune.search_managers.hyperopt.manager import HyperoptManager
matrix = V1Hyperopt.read(matrix)
suggestions = HyperoptManager(config=matrix).get_suggestions(
configs=configs, metrics=metrics)
log_suggestions(suggestions)
Printer.print_success("Suggestions generated with hyperopt")
def hyperopt(matrix, join, iteration):
"""Create suggestions based on hyperopt."""
from polyaxon.client import RunClient
from polyaxon.polyflow import V1Hyperopt, V1Join
from polyaxon.polytune.iteration_lineage import (
get_iteration_definition,
handle_iteration,
handle_iteration_failure,
)
from polyaxon.polytune.search_managers.hyperopt.manager import HyperoptManager
matrix = V1Hyperopt.read(matrix)
join = V1Join.read(join)
client = RunClient()
values = get_iteration_definition(
client=client,
iteration=iteration,
join=join,
optimization_metric=matrix.metric.name,
)
if not values:
return
run_uuids, configs, metrics = values
retry = 1
exp = None
suggestions = None
while retry < 3:
try:
suggestions = HyperoptManager(config=matrix).get_suggestions(
configs=configs, metrics=metrics)
exp = None
break
except Exception as exp:
retry += 1
logger.warning(exp)
if exp:
handle_iteration_failure(client=client, exp=exp)
return
handle_iteration(
client=client,
iteration=iteration,
suggestions=suggestions,
)
def hyperopt(matrix, configs, metrics, iteration):
"""Create suggestions based on hyperopt."""
from polyaxon.client import RunClient
from polyaxon.polyflow import V1Hyperopt
from polyaxon.polytune.iteration_lineage import (
handle_iteration,
handle_iteration_failure,
)
from polyaxon.polytune.search_managers.hyperopt.manager import HyperoptManager
matrix = V1Hyperopt.read(matrix)
if configs:
configs = ujson.loads(configs)
if metrics:
metrics = ujson.loads(metrics)
client = RunClient()
retry = 1
exp = None
suggestions = None
while retry < 3:
try:
suggestions = HyperoptManager(config=matrix).get_suggestions(
configs=configs, metrics=metrics)
exp = None
break
except Exception as e:
retry += 1
logger.warning(e)
exp = e
if exp:
handle_iteration_failure(client=client, exp=exp)
return
handle_iteration(
client=client,
suggestions=suggestions,
)