wr_q = np.zeros(wr_len) # TBD how to represent
doc_set = X[query] # given a ordered doc set
s = []
R = HsR[query]
for i, doc in enumerate(doc_set):
if not s: # if s is empty of docs
s.append(doc)
continue
else:
# compute wd_q for one
hs_ofR = R[i-1]
# compute wr_q for one
doc_r = doc_it(doc)
# compute wd_q for rest
wd_rest = compute_wd(doc_set[i:], s, query, wd_q, wr_q, R[i-1:])
# compute wr_q for rest
wr_rest = compute_wr(doc_set[i:], s, query, wd_q, wr_q, R[i-1:])
# compute denominator
denom = compute_denom(doc_set[i:], s, query, wd_q, wr_q, R[i-1:])
# subtract wd_q
wd_q += wd_rest / denom - hs_ofR
# subtract wr_q
wr_q += wr_rest / denom - doc_r
# update w's
s.append(doc)
print i, str(datetime.now())
wr_q = np.zeros(wr_len) # TBD how to represent
doc_set = X[query] # given a ordered doc set
s = []
R = HsR[query]
for i, doc in enumerate(doc_set):
if not s: # if s is empty of docs
s.append(doc)
continue
else:
# compute wd_q for one
hs_ofR = R[i - 1]
# compute wr_q for one
doc_r = doc_it(doc, query)
# compute wd_q for rest
wd_rest = compute_wd(doc_set[i:], s, query, wd_q, wr_q,
R[i - 1:])
# compute wr_q for rest
wr_rest = compute_wr(doc_set[i:], s, query, wd_q, wr_q,
R[i - 1:])
# compute denominator
denom = compute_denom(doc_set[i:], s, query, wd_q, wr_q,
R[i - 1:])
# subtract wd_q
wd_q += wd_rest / denom - hs_ofR
# subtract wr_q
wr_q += wr_rest / denom - doc_r
# update w's
wr_q = np.zeros(wr_len) # TBD how to represent
doc_set = X[query] # given a ordered doc set
s = []
R = HsR[query]
for i, doc in enumerate(doc_set):
if not s: # if s is empty of docs
s.append(doc)
continue
else:
# compute wd_q for one
hs_ofR = R[i-1]
# compute wr_q for one
doc_r = doc_it(doc, query)
# compute wd_q for rest
wd_rest = compute_wd(doc_set[i:], s, query, wd_q, wr_q, R[i-1:])
# compute wr_q for rest
wr_rest = compute_wr(doc_set[i:], s, query, wd_q, wr_q, R[i-1:])
# compute denominator
denom = compute_denom(doc_set[i:], s, query, wd_q, wr_q, R[i-1:])
# subtract wd_q
wd_q += wd_rest / denom - hs_ofR
# subtract wr_q
wr_q += wr_rest / denom - doc_r
# update w's
s.append(doc)
print i, str(datetime.now())
wr_q = np.zeros(wr_len) # TBD how to represent
doc_set = X[query] # given a ordered doc set
s = []
R = HsR[query]
for i, doc in enumerate(doc_set):
if not s: # if s is empty of docs
s.append(doc)
continue
else:
# compute wd_q for one
hs_ofR = R[i - 1]
# compute wr_q for one
doc_r = doc_it(doc)
# compute wd_q for rest
wd_rest = compute_wd(doc_set[i:], s, query, wd_q, wr_q,
R[i - 1:])
# compute wr_q for rest
wr_rest = compute_wr(doc_set[i:], s, query, wd_q, wr_q,
R[i - 1:])
# compute denominator
denom = compute_denom(doc_set[i:], s, query, wd_q, wr_q,
R[i - 1:])
# subtract wd_q
wd_q += wd_rest / denom - hs_ofR
# subtract wr_q
wr_q += wr_rest / denom - doc_r
# update w's
