get_tracking_uri,set_tracking_uri, log_artifact
from mlflow.sklearn import log_model
if __name__ == "__main__":
print("Running {} with tracking URI {}".format(sys.argv[0], sys.argv[1]))
set_tracking_uri(sys.argv[1])
log_param("my_param", 5)
log_metric("my_metric_name", 5)
log_metric("my_metric_name", 1)
log_metric("my_metric_name", 22)
run = active_run()
print("In run with UUID: %s" % run.info.run_uuid)
tracking_uri = get_tracking_uri()
if tracking_uri.startswith("http://"):
store = RestStore({'hostname': tracking_uri})
metric_obj = store.get_metric(run.info.run_uuid, "my_metric_name")
metric_history = store.get_metric_history(run.info.run_uuid,
"my_metric_name")
param_obj = store.get_param(run.info.run_uuid, "my_param")
print("Got metric %s, %s" % (metric_obj.key, metric_obj.value))
print("Got param %s, %s" % (param_obj.key, param_obj.value))
print("Got metric history %s" % metric_history)
local_dir = tempfile.mkdtemp()
message = "test artifact written during run %s within artifact URI %s\n" \
% (active_run().info.run_uuid, get_artifact_uri())
try:
file_path = os.path.join(local_dir, "some_output_file.txt")
with open(file_path, "w") as handle:
handle.write(message)
log_artifacts(local_dir, "some_subdir")
log_artifact(file_path, "another_dir")
get_tracking_uri, log_artifact
if __name__ == "__main__":
print("Running {} with tracking URI {}".format(sys.argv[0],
get_tracking_uri()))
log_param("param1", 5)
log_metric("foo", 5)
log_metric("foo", 6)
log_metric("foo", 7)
log_metric("random_int", random.randint(0, 100))
run = active_run()
print("In run with UUID: %s" % run.info.run_uuid)
tracking_uri = get_tracking_uri()
if tracking_uri.startswith("http://"):
store = RestStore(get_tracking_uri())
metric_obj = store.get_metric(run.info.run_uuid, "foo")
metric_history = store.get_metric_history(run.info.run_uuid, "foo")
param_obj = store.get_param(run.info.run_uuid, "param1")
print("Got metric %s, %s" % (metric_obj.key, metric_obj.value))
print("Got param %s, %s" % (param_obj.key, param_obj.value))
print("Got metric history %s" % metric_history)
local_dir = tempfile.mkdtemp()
message = "test artifact written during run %s within artifact URI %s\n" \
% (active_run().info.run_uuid, get_artifact_uri())
try:
file_path = os.path.join(local_dir, "some_output_file.txt")
with open(file_path, "w") as handle:
handle.write(message)
log_artifacts(local_dir, "some_subdir")
log_artifact(file_path, "another_dir")
finally: