def _get_atm(args):
sql_conf = SQLConfig(args)
aws_conf = AWSConfig(args)
log_conf = LogConfig(args)
return ATM(**sql_conf.to_dict(), **aws_conf.to_dict(),
**log_conf.to_dict())
def _get_atm(args):
sql_conf = SQLConfig(args)
aws_conf = AWSConfig(args)
log_conf = LogConfig(args)
# Build params dictionary to pass to ATM.
# Needed because Python 2.7 does not support multiple star operators in a single statement.
atm_args = sql_conf.to_dict()
atm_args.update(aws_conf.to_dict())
atm_args.update(log_conf.to_dict())
return ATM(**atm_args)
def __init__(self,
database,
datarun,
save_files=True,
cloud_mode=False,
aws_config=None,
log_config=None,
public_ip='localhost'):
"""
database: Database object with connection information
datarun: Datarun ORM object to work on.
save_files: if True, save model and metrics files to disk or cloud.
cloud_mode: if True, save classifiers to the cloud
aws_config: S3Config object with amazon s3 connection info
"""
self.db = database
self.datarun = datarun
self.save_files = save_files
self.cloud_mode = cloud_mode
self.aws_config = aws_config
self.public_ip = public_ip
log_config = log_config or LogConfig()
self.model_dir = log_config.model_dir
self.metric_dir = log_config.metric_dir
self.verbose_metrics = log_config.verbose_metrics
ensure_directory(self.model_dir)
ensure_directory(self.metric_dir)
# load the Dataset from the database
self.dataset = self.db.get_dataset(self.datarun.dataset_id)
# load the Selector and Tuner classes specified by our datarun
self.load_selector()
self.load_tuner()
def test_save_classifier(db, datarun, model, metrics):
log_conf = LogConfig(model_dir=MODEL_DIR, metric_dir=METRIC_DIR)
worker = Worker(db, datarun, log_config=log_conf)
hp = db.get_hyperpartitions(datarun_id=worker.datarun.id)[0]
classifier = worker.db.start_classifier(hyperpartition_id=hp.id,
datarun_id=worker.datarun.id,
host='localhost',
hyperparameter_values=DT_PARAMS)
worker.db.complete_classifier = Mock()
worker.save_classifier(classifier.id, model, metrics)
worker.db.complete_classifier.assert_called()
with db_session(worker.db):
clf = db.get_classifier(classifier.id)
loaded = load_model(clf, MODEL_DIR)
assert type(loaded) == Model
assert loaded.method == model.method
assert loaded.random_state == model.random_state
assert load_metrics(clf, METRIC_DIR) == metrics
def _get_parser():
logging_args = argparse.ArgumentParser(add_help=False)
logging_args.add_argument('-v', '--verbose', action='count', default=0)
logging_args.add_argument('-l', '--logfile')
parser = argparse.ArgumentParser(description='ATM Command Line Interface',
parents=[logging_args])
subparsers = parser.add_subparsers(title='action', help='Action to perform')
parser.set_defaults(action=None)
# Common Arguments
sql_args = SQLConfig.get_parser()
aws_args = AWSConfig.get_parser()
log_args = LogConfig.get_parser()
run_args = RunConfig.get_parser()
dataset_args = DatasetConfig.get_parser()
# Enter Data Parser
enter_data_parents = [
logging_args,
sql_args,
aws_args,
dataset_args,
log_args,
run_args
]
enter_data = subparsers.add_parser('enter_data', parents=enter_data_parents,
help='Add a Dataset and trigger a Datarun on it.')
enter_data.set_defaults(action=_enter_data)
# Wroker Args
worker_args = argparse.ArgumentParser(add_help=False)
worker_args.add_argument('--cloud-mode', action='store_true', default=False,
help='Whether to run this worker in cloud mode')
worker_args.add_argument('--no-save', dest='save_files', action='store_false',
help="don't save models and metrics at all")
# Worker
worker_parents = [
logging_args,
worker_args,
sql_args,
aws_args,
log_args
]
worker = subparsers.add_parser('worker', parents=worker_parents,
help='Start a single worker in foreground.')
worker.set_defaults(action=_work)
worker.add_argument('--dataruns', help='Only train on dataruns with these ids', nargs='+')
worker.add_argument('--total-time', help='Number of seconds to run worker', type=int)
# Server Args
server_args = argparse.ArgumentParser(add_help=False)
server_args.add_argument('--host', help='IP to listen at')
server_args.add_argument('--port', help='Port to listen at', type=int)
# Server
server = subparsers.add_parser('server', parents=[logging_args, server_args, sql_args],
help='Start the REST API Server in foreground.')
server.set_defaults(action=_serve)
server.add_argument('--debug', help='Start in debug mode', action='store_true')
# add_arguments_sql(server)
# Background Args
background_args = argparse.ArgumentParser(add_help=False)
background_args.add_argument('--pid', help='PID file to use.', default='atm.pid')
# Start Args
start_args = argparse.ArgumentParser(add_help=False)
start_args.add_argument('--foreground', action='store_true', help='Run on foreground')
start_args.add_argument('-w', '--workers', default=1, type=int, help='Number of workers')
start_args.add_argument('--no-server', dest='server', action='store_false',
help='Do not start the REST server')
# Start
start_parents = [
logging_args,
worker_args,
server_args,
background_args,
start_args,
sql_args,
aws_args,
log_args
]
start = subparsers.add_parser('start', parents=start_parents,
help='Start an ATM Local Cluster.')
start.set_defaults(action=_start)
# Status
status = subparsers.add_parser('status', parents=[logging_args, background_args])
status.set_defaults(action=_status)
# Stop Args
stop_args = argparse.ArgumentParser(add_help=False)
stop_args.add_argument('-t', '--timeout', default=5, type=int,
help='Seconds to wait before killing the process.')
stop_args.add_argument('-f', '--force', action='store_true',
help='Kill the process if it does not terminate gracefully.')
# Stop
stop = subparsers.add_parser('stop', parents=[logging_args, stop_args, background_args],
help='Stop an ATM Local Cluster.')
stop.set_defaults(action=_stop)
# restart
restart = subparsers.add_parser('restart', parents=start_parents + [stop_args],
help='Restart an ATM Local Cluster.')
restart.set_defaults(action=_restart)
# Make Config
make_config = subparsers.add_parser('make_config', parents=[logging_args],
help='Generate a config templates folder in the cwd.')
make_config.set_defaults(action=_make_config)
# Get Demos
get_demos = subparsers.add_parser('get_demos', parents=[logging_args],
help='Generate a demos folder with demo CSVs in the cwd.')
get_demos.set_defaults(action=_get_demos)
return parser
def _get_atm(args):
sql_conf = SQLConfig(args)
aws_conf = AWSConfig(args)
log_conf = LogConfig(args)
return ATM(sql_conf, aws_conf, log_conf)
