def load(s3_path):
'''
Loads an EC2 Cluster object from the s3_path.
This will have the effect of instantiating an object locally, which contains
all the relevant metadata associated the EC2 Cluster. This is useful for
getting a handle of an Turi EC2 Cluster created from another machine, allowing
you to submit jobs to it.
Parameters
----------
s3_path : str
Used for storing cluster state data, such as log files. This path can be used from another
machine to load a handle to this cluster.
Returns
-------
out : :py:class:`~graphlab.deploy.Ec2Cluster`
The EC2 Cluster Handle that can be used to access and manage the Cluster.
See Also
--------
graphlab.deploy.ec2_cluster.create
'''
result = _load_artifact(s3_path + '/state')
_default_session.save(result)
return result
def load(s3_path):
'''
Loads an EC2 Cluster object from the s3_path.
This will have the effect of instantiating an object locally, which contains
all the relevant metadata associated the EC2 Cluster. This is useful for
getting a handle of an Dato EC2 Cluster created from another machine, allowing
you to submit jobs to it.
Parameters
----------
s3_path : str
Used for storing cluster state data, such as log files. This path can be used from another
machine to load a handle to this cluster.
Returns
-------
out : :py:class:`~graphlab.deploy.Ec2Cluster`
The EC2 Cluster Handle that can be used to access and manage the Cluster.
See Also
--------
graphlab.deploy.ec2_cluster.create
'''
result = _load_artifact(s3_path + '/state')
_default_session.save(result)
return result
def _save(self):
'''
save to both local session and S3.
'''
self._save_to_file(self.s3_state_path + '/state')
_default_session.save(self)
def _save(self):
'''
save to both local session and S3.
'''
self._save_to_file(self.s3_state_path + '/state')
_default_session.save(self)
