Python AdvisorClient.list_studiesの例

コード例 #1

ファイル: example.py プロジェクト: zyhuster1/advisor

from advisor_client.model import TrialMetric
from advisor_client.client import AdvisorClient

client = AdvisorClient()

# Create Study
name = "Study"
study_configuration = {
    "goal":
    "MAXIMIZE",
    "maxTrials":
    5,
    "maxParallelTrials":
    1,
    "params": [{
        "parameterName": "hidden1",
        "type": "INTEGER",
        "minValue": 40,
        "maxValue": 400,
        "scalingType": "LINEAR"
    }]
}

study = client.create_study(name, study_configuration)
print(study)
print(client.list_studies())

trials = client.get_suggestions(study.id, 3)
print(trials)
print(client.list_trials(study.id))

コード例 #2

ファイル: command.py プロジェクト: divfor/advisor

def list_studies(args):
  client = AdvisorClient()
  print_studies(client.list_studies())

コード例 #3

def list_studies(args):
  client = AdvisorClient()
  print_studies(client.list_studies())

コード例 #4

ファイル: example.py プロジェクト: divfor/advisor

from advisor_client.model import TrialMetric
from advisor_client.client import AdvisorClient

client = AdvisorClient()

# Create Study
name = "Study"
study_configuration = {
    "goal":
    "MAXIMIZE",
    "maxTrials":
    5,
    "maxParallelTrials":
    1,
    "params": [{
        "parameterName": "hidden1",
        "type": "INTEGER",
        "minValue": 40,
        "maxValue": 400,
        "scallingType": "LINEAR"
    }]
}

study = client.create_study(name, study_configuration)
print(study)
print(client.list_studies())

trials = client.get_suggestions(study.id, 3)
print(trials)
print(client.list_trials(study.id))