class Hasher:
def __init__(self, **options):
self.signer = MinHashSignature(options.get("numHashes",100))
self.hasher = LSH(options.get("numHashes",100),options.get("numItemsInBand",10), None)
self.save_min_hash = options.get("saveMinhashes",False)
print 'in hashing'
print options.get("numHashes",100),options.get("numsItemsInBand",10),options.get("saveMinhashes",False)
def perform(self,rdd):
rdd = rdd.map(lambda (x,y) : (x,json.dumps(y)))
return self.compute_hashes(rdd)
def compute_hashes(self, data):
return data.flatMap(lambda (x, y): self.compute_row_lsh(x, y))
def compute_row_lsh(self, key, row):
if len(row) > 0:
#print "Sign:", row
min_hash_sig = self.signer.sign(row)
#print min_hash_sig
if min_hash_sig is not None:
lsh_sig = list(self.hasher.hash(min_hash_sig))
if self.save_min_hash is False:
min_hash_sig = None
for lsh_val in lsh_sig:
yield lsh_val, (key, min_hash_sig)
class Hasher:
def __init__(self, num_hashes, num_items_in_band, save_min_hash):
self.signer = MinHashSignature(num_hashes)
self.hasher = LSH(num_hashes, num_items_in_band, None)
self.save_min_hash = save_min_hash
pass
def compute_hashes(self, data):
return data.flatMap(lambda (x, y): self.compute_row_lsh(x, y))
def compute_row_lsh(self, key, row):
if len(row) > 0:
#print "Sign:", row
min_hash_sig = self.signer.sign(row)
if min_hash_sig is not None:
lsh_sig = list(self.hasher.hash(min_hash_sig))
if self.save_min_hash is False:
min_hash_sig = None
for lsh_val in lsh_sig:
yield lsh_val, (key, min_hash_sig)
def __init__(self, num_hashes, num_items_in_band, save_min_hash):
self.signer = MinHashSignature(num_hashes)
self.hasher = LSH(num_hashes, num_items_in_band, None)
self.save_min_hash = save_min_hash
pass
def __init__(self, **options):
self.signer = MinHashSignature(options.get("numHashes",100))
self.hasher = LSH(options.get("numHashes",100),options.get("numItemsInBand",10), None)
self.save_min_hash = options.get("saveMinhashes",False)
print 'in hashing'
print options.get("numHashes",100),options.get("numsItemsInBand",10),options.get("saveMinhashes",False)
