def assert_can_track_sagemaker_experiments():
in_sagemaker_training = 'TRAINING_JOB_ARN' in os.environ
in_python_three = sys.version_info[0] == 3
if in_sagemaker_training and in_python_three:
import smexperiments.tracker
with smexperiments.tracker.Tracker.load() as tracker:
tracker.log_parameter('param', 1)
tracker.log_metric('metric', 1.0)
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
import datetime
import time
from smexperiments import tracker
import os
for key, value in os.environ.items():
print(key, value)
with tracker.Tracker.load() as tracker:
tracker.log_parameter("p1", 1.0)
if "TRAINING_JOB_ARN" in os.environ:
for i in range(2):
tracker.log_metric("A", i)
for i in range(2):
tracker.log_metric("B", i)
for i in range(2):
tracker.log_metric("C", i)
for i in range(2):
time.sleep(0.003)
tracker.log_metric("D", i)
time.sleep(15)
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
import datetime
import time
from smexperiments import tracker
import os
for key, value in os.environ.items():
print(key, value)
with tracker.Tracker.load() as tracker:
tracker.log_parameter('p1', 1.0)
if 'TRAINING_JOB_ARN' in os.environ:
for i in range(2):
tracker.log_metric('A', i)
for i in range(2):
tracker.log_metric('B', i)
for i in range(2):
tracker.log_metric('C', i)
for i in range(2):
time.sleep(0.003)
tracker.log_metric('D', i)
time.sleep(15)