def dmlpred(self):
self._mdmlalist = []
out = True
self.verbose("Hosting DML test")
for i in range(self._hostnum):
conn = self._mdmlconnlist[i]
rcv = smsg.recv(conn)
if (rcv == None):
self.error("aggregate rcv has failed from donor", i)
out = False #Error occurred
else:
ra = deserialize(rcv)
#ra = numpy.array( json.loads(rcv))
self._mdmlalist.append(ra)
conn.send('ACKN'.encode('utf-8'))
if (len(self._mdmlalist) < 1):
self.error("No aggregates received, Aborting")
out = False #Error occurred
self.__abortAll()
else:
asum = numpy.zeros(self._mdmlalist[0].shape, dtype=self.compd)
for i, a in enumerate(self._mdmlalist):
self.info("aggregate", i, a.shape)
asum = a + asum
# only test against the first TODO: selectable testing
for i in range(self._hostnum):
conn = self._mdmlconnlist[i]
dumped = serialize(asum)
smsg.send(conn, dumped)
self.verbose("DML done. ASUM pushed to donors")
return out
def negotiate(self, ahostaddr):
'''start negotation, first sends in the donor's own prepared negform to inform the
central about the number of entries/features, it is expected that _mDmat is read
from a file/stdin before this
@params ahostaddr - a tuple ('localhost',portnumber i.e 8000)'''
_mnegform = NegForm(self) #creates the negotiation form
self.verbose("Negform created. Beginning Negotation...")
try:
negstr = json.dumps(
_mnegform.primary) #obtains the primary neg data
self._msocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._msocket.connect(
ahostaddr) #attempting to connect to the host (central)
self.debug("Host connected. Sending negstr")
smsg.send(self._msocket, negstr)
self.debug(
"Negotiation form sent to central. Awaiting synchronization")
self._mnegform = NegForm(json.loads(smsg.recv(self._msocket)))
self.info("Synchronized form:")
self._mnegform.display()
self.partition_internals(self._mnegform.primary["bsize"])
self.kernel = self._npdc.computeKernel()
if not type(self.kernel) == numpy.ndarray:
self.warn("Kernel computational error!")
else:
self.verbose("Partitioned and computed the kernel",
self.kernel.shape)
except Exception as e:
self.expt(str(e), traceback.format_exc())
finally:
return self.hasNegotiated()
def negotiate(self,ahostaddr,train=True):
'''start negotation, first sends in the donor's own prepared negform to inform the
central about the number of entries/features, it is expected that _mDmat is read
from a file/stdin before this
@params ahostaddr - a tuple ('localhost',portnumber i.e 8000)'''
if( train ):
# TRAINING MODE
_mnegform = NegForm(self) #creates the negotiation form
self.verbose("Negform created. Beginning Negotation...")
try:
negstr = json.dumps(_mnegform.primary) #obtains the primary neg data
self._msocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._msocket.connect( ahostaddr ) #attempting to connect to the host (central)
self.debug("Host connected. Sending negstr")
smsg.send( self._msocket, negstr )
self.debug("Negotiation form sent to central. Awaiting synchronization")
self._mnegform = NegForm( json.loads( smsg.recv( self._msocket ) ) )
self.info("Synchronized form:")
self._mnegform.display()
except Exception as e:
self.expt(str(e),traceback.format_exc())
finally:
return self.hasNegotiated()
else:
# PREDICTION MODE
try:
self._msocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._msocket.connect( ahostaddr )
return True
except Exception as e:
self.expt(str(e),traceback.format_exc())
return False
def connpred(self):
#TODO: figure out how to implement this
if( self.isTrained ):
aggregate = self._npdc.df.dot( self._mweights )
self.verbose("Sending test prediction to central",aggregate.shape)
#self.raw( aggregate )
dumped = serialize( aggregate )
smsg.send( self._msocket, dumped )
repmsg = self._msocket.recv(4)
if( repmsg.decode('utf-8') == "ACKN" ):
#proceed
self.info("All Aggregates sent. Awaiting results.")
rcv = smsg.recv( self._msocket )
if(rcv != None):
try:
if( rcv.decode('utf-8') == 'ABRT'):
self.error("Abort request by central.")
except UnicodeDecodeError:
self._mres = deserialize( rcv )
self.verbose("Received DML pred results:")
self.info( self._mres )
return True
else:
self.error("rcv is null. Receiving error on _mres")
else:
self.error("Failed to receive ACKN from host. Terminating conntest")
else:
self.error("Weights not available. Is the donor trained ?")
return False
def conntrain(self,targetname=None):
'''conntrain should begin connection with the central, send in the
_mDmat_train and (if it has the target) _mTvct_train. await response
from server and fill in the received alpha to _mdist_alpha'''
if( self.hasNegotiated() ):
self.targetname = targetname
if(self.targetname is not None):
self.train_x, self.test_x, self.train_y, self.test_y = \
self._npdc.obtrain( self._mnegform.primary["bsize"] , targetname )
else:
self.train_x, self.test_x = self._npdc.obtrain( self._mnegform.primary["bsize"] )
self.kernel = computeKernel( self.train_x )
if not type(self.kernel) == numpy.ndarray:
self.warn("Kernel computational error!")
else:
self.verbose("Partitioned and computed the kernel",self.kernel.shape)
self.verbose("Sending kernel to central")
#dumped = json.dumps( self.kernel.tolist() ) # THIS line is crashing the system (for size 10k)
self.debug("Training headers (include targets) :")
self.raw( self._npdc.hlist )
dumped = serialize( self.kernel )
self.verbose("Total serial dump: {} bytes".format(len(dumped)))
smsg.send( self._msocket, dumped ) #json dump and send the array
# await confirmation
repmsg = self._msocket.recv(4)
if( repmsg.decode('utf-8') == "ACKN" ):
# proceed
if( self.targetname is not None ):
# dump the target_train to bytes and send it on over socket
dumped = serialize( self.train_y )
smsg.send( self._msocket, dumped)
# await for alpha
self.info("All Kernels sent. Awaiting central response.")
rcv = smsg.recv( self._msocket )
if(rcv != None):
try:
if( rcv.decode('utf-8') == 'ABRT'):
self.error("Abort request by central.")
self.hasAlpha = False
except UnicodeDecodeError :
self.verbose("Unicode decode failed. Proceeding with deserialization")
self._mdistalpha = deserialize(rcv)
self.info("Distributed alpha received.")
self.hasAlpha=True
self.recover_weights() # perform weight recovery
else:
self.error("rcv is null. Receiving error _mdistalpha")
self.hasAlpha = False
else:
#failed
self.error("Failed to receive ACKN from host. Terminating conntrain")
self.hasAlpha = False
else:
self.error("This donor has not synchronized the params with the central,\
please run negotiate( addr ) first !")
self.hasAlpha = False
return self.hasAlpha
def conntrain(self):
'''conntrain should begin connection with the central, send in the
_mDmat_train and (if it has the target) _mTvct_train. await response
from server and fill in the received alpha to _mdist_alpha'''
if (self.hasNegotiated()):
self.verbose("Sending kernel to central")
#dumped = json.dumps( self.kernel.tolist() ) # THIS line is crashing the system (for size 10k)
dumped = serialize(self.kernel)
self.verbose("Total serial dump: {} bytes".format(len(dumped)))
smsg.send(self._msocket, dumped) #json dump and send the array
# await confirmation
repmsg = self._msocket.recv(4)
if (repmsg.decode('utf-8') == "ACKN"):
# proceed
if (self.hasTarget):
# dump the target_train to bytes and send it on over socket
dumped = serialize(
self._npdc.get(side='target', batch='train'))
smsg.send(self._msocket, dumped)
# await for alpha
self.info("All Kernels sent. Awaiting central response.")
rcv = smsg.recv(self._msocket)
if (rcv != None):
try:
if (rcv.decode('utf-8') == 'ABRT'):
self.error("Abort request by central.")
self.hasAlpha = False
except UnicodeDecodeError:
self.verbose(
"Unicode decode failed. Proceeding with deserialization"
)
self._mdistalpha = deserialize(rcv)
self.info("Distributed alpha received.")
self.hasAlpha = True
self.recover_weights() # perform weight recovery
else:
self.error("rcv is null. Receiving error _mdistalpha")
self.hasAlpha = False
else:
#failed
self.error(
"Failed to receive ACKN from host. Terminating conntrain")
self.hasAlpha = False
else:
self.error(
"This donor has not synchronized the params with the central,\
please run negotiate( addr ) first !")
self.hasAlpha = False
return self.hasAlpha
def conntest(self):
'''conntest should begin connection with the central, send in the
_mDmat_train and (if it has the target) _mTvct_train. await response
from server which it will return the error rating of the model
RETURNS True upon No errors. False otherwise'''
if (self.isTrained):
aggregate = self._npdc.get(side="data",
batch="test").dot(self._mweights)
self.verbose("Sending test prediction to central", aggregate.shape)
#self.raw( aggregate )
dumped = serialize(aggregate)
smsg.send(self._msocket, dumped)
repmsg = self._msocket.recv(4)
if (repmsg.decode('utf-8') == "ACKN"):
#proceed
if (self.hasTarget):
# dump the target_test to bytes and send it on over socket
dumped = serialize(
self._npdc.get(side='target', batch='test'))
smsg.send(self._msocket, dumped)
#await for test results
self.info("All Aggregates sent. Awaiting results.")
rcv = smsg.recv(self._msocket)
if (rcv != None):
if (rcv.decode('utf-8') == 'ABRT'):
self.error("Abort request by central.")
else:
self._mres = json.loads(rcv)
self.verbose("Received DML test results:")
self.info("MSE:", self._mres.get("mse"))
self.info("R2S:", self._mres.get("r2s"))
return True
else:
self.error("rcv is null. Receiving error on _mres")
else:
self.error(
"Failed to receive ACKN from host. Terminating conntest")
else:
self.error("Weights not available. Is the donor trained ?")
return False
def dmltrain(self):
'''dmltrain should start listen on the ahostaddr bounded during negotations,
and attempts to receive the numpy arrays obtained from the various donors.
it then has to generate the distributed alpha from the operations'''
self._mdmlklist = []
self._mdmltlist = []
out = True
if (self.hasNegotiated()):
f = StringIO()
lval = self._mnegformlist[0].primary['rrlambda']
self.verbose("Hosting DML training lval:", lval, "bsize:",
self._mnegformlist[0].primary['bsize'])
for i in range(self._hostnum):
conn = self._mdmlconnlist[i]
self.verbose("Receiving kernel from donor", i)
rcv = smsg.recv(conn)
if (rcv == None):
self.error("kernel rcv has failed from donor", i)
out = False
else:
rk = deserialize(rcv)
#rk = numpy.array(json.loads( rcv ))
self.verbose("kernel rcv has succeeded from donor", i)
self._mdmlklist.append(rk)
# sends the ACK
conn.send('ACKN'.encode('utf-8'))
if (self._mnegformlist[i].primary['dflag']):
# this donor possess target, receives it
rcv = smsg.recv(conn)
if (rcv == None):
self.error("train targets rcv has failed from donor",
i)
out = False
else:
rt = deserialize(rcv)
#rt = numpy.array(json.loads( rcv ))
self._mdmltlist.append(rt)
if (len(self._mdmlklist) < 1):
self.error("No kernels received")
out = False
self.__abortAll()
elif (len(self._mdmltlist) < 1):
self.error(
"No Targets. Please check if target donor is specified correctly"
)
out = False
self.__abortAll()
else:
# all kernels and targets received
# sum all kernels
ksum = numpy.zeros(self._mdmlklist[0].shape, dtype=self.compd)
for i, k in enumerate(self._mdmlklist):
self.info("kernel", i, k.shape)
ksum += k
# only train against the first TODO : selectable training
targ = self._mdmltlist[0]
self.verbose("Starting Ridge Solver")
if (len(targ.shape) < 2):
tdim = 1
else:
tdim = targ.shape[1]
alpha = pyplasma.ridge_solve(ksum.flatten(),
ksum.shape[0], ksum.shape[1],
targ.flatten(), targ.shape[0],
tdim, lval, 1,
ksum.shape[0] * tdim)
self.info("Alpha meta:", type(alpha), alpha.shape)
dumped = serialize(alpha)
for i in range(self._hostnum):
conn = self._mdmlconnlist[i]
smsg.send(conn, dumped) #dump to bytes and send
self.info("DML training complete")
self.donorTrained = out
return out
def host_negotiations(self,
asrvaddr,
batchfactor=0.1,
rrlambda=1.0,
train=True):
'''begins negotiations by listening on ahostaddr. receives the negform and syncs
them up with the donors
@params ahostaddr - a tuple ('localhost',portnumber i.e 8000)
@params batchfactor - the value to batch up the train/test set
@params rrlamdda - the ridge regressor's hyperparam'''
# the host are indexed based on the order in which they connect
self._mdmlconnlist = []
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
if (train):
# TRAINING MODE
self.verbose("Negotiation for DML TRAIN")
self._mnegformlist = []
try:
self.sock.bind(asrvaddr)
self.sock.listen(self._hostnum)
# Negotiations round 1
for i in range(self._hostnum):
self.debug("Listening on address:", asrvaddr)
connection, rcliaddr = self.sock.accept()
self.debug("Connection established with", rcliaddr)
# receives the json obj
negf = NegForm(json.loads(smsg.recv(connection)))
negf.display()
self._mnegformlist.append(negf)
self._mdmlconnlist.append(connection)
# Process to formulate the batchsizes
bsize = aux.evaluate_bsize(aux.find_minesz(self._mnegformlist),
batchfactor)
self.info("bsize decided on", bsize)
# Negotiations round 2
for i in range(self._hostnum):
self._mnegformlist[i].primary['bsize'] = bsize
self._mnegformlist[i].primary['rrlambda'] = rrlambda
smsg.send(self._mdmlconnlist[i],
json.dumps(self._mnegformlist[i].primary))
self.debug("Negotiation forms pushed back to host", i)
except Exception as e:
self.expt(str(e), traceback.format_exc())
finally:
return self.hasNegotiated()
else:
# PREDICTION MODE
self.verbose("Negotiation for DML PRED")
try:
self.sock.bind(asrvaddr)
self.sock.listen(self._hostnum)
for i in range(self._hostnum):
self.debug("Listening on address:", asrvaddr)
connection, rcliaddr = self.sock.accept()
self.debug("Connection established with", rcliaddr)
self._mdmlconnlist.append(connection)
return True
except Exception as e:
self.expt(str(e), traceback.format_exc())
return False
def dmltest(self):
'''dmltest should start to listen on the _npdc_hostadr bounded during negotiations,
and attempts to receive the numpy arrays (TEST BATCH) from the same donors,
it then returns the evaluation metrics
RETURNS Ture upon No errors. False otherwise'''
self._mdmlalist = []
self._mdmlvlist = []
out = True
if (self.hasNegotiated() and self.donorTrained):
self.verbose("Hosting DML test")
for i in range(self._hostnum):
conn = self._mdmlconnlist[i]
rcv = smsg.recv(conn)
if (rcv == None):
self.error("aggregate rcv has failed from donor", i)
out = False #Error occurred
else:
ra = deserialize(rcv)
#ra = numpy.array( json.loads(rcv))
self._mdmlalist.append(ra)
conn.send('ACKN'.encode('utf-8'))
if (self._mnegformlist[i].primary['dflag']):
rcv = smsg.recv(conn)
if (rcv == None):
self.error("test targets rcv has failed from donor", i)
out = False #Error occurred
else:
rt = deserialize(rcv)
#rt = numpy.array(json.loads(rcv))
self._mdmlvlist.append(rt)
self.verbose("received test targets from donor", i)
if (len(self._mdmlalist) < 1):
self.error("No aggregates received, Aborting")
out = False #Error occurred
self.__abortAll()
if (len(self._mdmlvlist) < 1):
self.error(
"No verifying targets. Is target donor specified correctly?"
)
out = False
self.__abortAll()
else:
asum = numpy.zeros(self._mdmlalist[0].shape, dtype=self.compd)
for i, a in enumerate(self._mdmlalist):
self.info("aggregate", i, a.shape)
asum = a + asum
# only test against the first TODO: selectable testing
varg = self._mdmlvlist[0]
jrep = {
"mse": mean_squared_error(asum, varg),
"mae": mean_absolute_error(asum, varg),
"max": max_error(asum, varg),
"evs": explained_variance_score(asum, varg),
"r2s": r2_score(asum, varg)
}
self.verbose("mse", jrep.get("mse"))
self.verbose("mae", jrep.get("mae"))
self.verbose("max", jrep.get("max"))
self.verbose("evs", jrep.get("evs"))
self.verbose("r2s", jrep.get("r2s"))
for i in range(self._hostnum):
conn = self._mdmlconnlist[i]
smsg.send(conn, json.dumps(jrep))
self.verbose("DML done. JREP pushed to donors")
else:
self.error(
"Not negotiated or donor is not trained yet, unable to test")
out = False
return out