More Related Content
Similar to Azure Machine Leaning Workbench の使い方 (20)
More from Yoshitaka Seo (20)
Azure Machine Leaning Workbench の使い方
- 13. ログ出力(1)
13
# ロガーの作成
from azureml.logging import get_azureml_logger
run_logger = get_azureml_logger()
# ロガーへの出力
run_logger.log("Average Test Error", average_error)
# printと適宜共存
print("Average test error: {0:.2f}%".format(average_error))
- 17. ハイパーパラメーターの管理(1)
17
if len(sys.argv) > 1:
learning_rate = float(sys.argv[1])
else:
learning_rate = 0.2
print("learning_rate is {}".format(learning_rate))
run_logger.log("learning_rate", learning_rate)
if len(sys.argv) > 2:
minibatch_size = int(sys.argv[2])
else:
minibatch_size = 64
print("minibatch_size is {}".format(minibatch_size))
run_logger.log("minibatch_size", minibatch_size)