def __init__(self,
array=None,
background=False,
sub_sketch_keys=[],
_proxy=None):
"""__init__(array)
Construct a new Sketch from an SArray.
Parameters
----------
array : SArray
Array to sketch.
background : boolean, optional
If true, run the sketch in background. The the state of the sketch
may be queried by calling (:func:`~graphlab.Sketch.sketch_ready`)
default is False
sub_sketch_keys : list
The list of sub sketch to calculate, for SArray of dictionary type.
key needs to be a string, for SArray of vector(array) type, the key
needs to be positive integer
"""
_mt._get_metric_tracker().track('sketch.init')
if (_proxy):
self.__proxy__ = _proxy
else:
self.__proxy__ = UnitySketchProxy(glconnect.get_client())
if not isinstance(array, SArray):
raise TypeError(
"Sketch object can only be constructed from SArrays")
self.__proxy__.construct_from_sarray(array.__proxy__, background,
sub_sketch_keys)
def __init__(self, array=None, background=False, sub_sketch_keys=[], _proxy=None):
"""__init__(array)
Construct a new Sketch from an SArray.
Parameters
----------
array : SArray
Array to sketch.
background : boolean, optional
If true, run the sketch in background. The the state of the sketch
may be queried by calling (:func:`~graphlab.Sketch.sketch_ready`)
default is False
sub_sketch_keys : list
The list of sub sketch to calculate, for SArray of dictionary type.
key needs to be a string, for SArray of vector(array) type, the key
needs to be positive integer
"""
_mt._get_metric_tracker().track('sketch.init')
if (_proxy):
self.__proxy__ = _proxy
else:
self.__proxy__ = UnitySketchProxy(glconnect.get_client())
if not isinstance(array, SArray):
raise TypeError("Sketch object can only be constructed from SArrays")
self.__proxy__.construct_from_sarray(array.__proxy__, background, sub_sketch_keys)
def run(toolkit_name, options, verbose=True, show_progress=False):
"""
Internal function to execute toolkit on the graphlab server.
Parameters
----------
toolkit_name : string
The name of the toolkit.
options : dict
A map containing the required input for the toolkit function,
for example: {'graph': g, 'reset_prob': 0.15}.
verbose : bool
If true, enable progress log from server.
show_progress : bool
If true, display progress plot.
Returns
-------
out : dict
The toolkit specific model parameters.
Raises
------
RuntimeError
Raises RuntimeError if the server fail executing the toolkit.
"""
unity = glconnect.get_unity()
if (not verbose):
glconnect.get_client().set_log_progress(False)
# spawn progress threads
server_addr = glconnect.get_server().get_server_addr()
splits = server_addr.split(':')
protocol = splits[0]
hostname = splits[1].split('//')[1]
try:
start_time = time.time()
(success, message, params) = unity.run_toolkit(toolkit_name, options)
end_time = time.time()
except:
raise
if (len(message) > 0):
logging.getLogger(__name__).error("Toolkit error: " + message)
track_props = {}
track_props['success'] = success
if success:
track_props['runtime'] = end_time - start_time
else:
if (len(message) > 0):
track_props['message'] = message
metric_name = 'toolkit.%s.executed' % (toolkit_name)
_get_metric_tracker().track(metric_name, value=1, properties=track_props, send_sys_info=False)
# set the verbose level back to default
glconnect.get_client().set_log_progress(True)
if success:
return params
else:
raise ToolkitError(str(message))