def search(query, scorer, index):
"""
Retrieve documents matching a query using the specified scorer.
1) Tokenize the query.
2) Convert the query tokens to a vector, using Index.query_to_vector.
3) Call the scorer's score function.
4) Return the list of document ids in descending order of relevance.
NB: Due to the inconsistency of floating point arithmetic, when sorting,
round the scores to 6 decimal places (e.g., round(x, 6)). This will ensure
replicable results.
Params:
query....A string representing a search query.
scorer...A ScoringFunction to retrieve documents.
index....A Index storing postings lists.
Returns:
A list of document ids in descending order of relevance to the query.
"""
query_tokened = index.tokenize(query)
query_vector = index.query_to_vector(query_tokened)
score = scorer.score(query_vector, index)
sortedlist = sorted(score.items(),
key=lambda x: round(x[1], 5),
reverse=True)
return [i[0] - 1 for i in sortedlist]
def search(query, scorer, index):
"""
Retrieve documents matching a query using the specified scorer.
1) Tokenize the query.
2) Convert the query tokens to a vector, using Index.query_to_vector.
3) Call the scorer's score function.
4) Return the list of document ids in descending order of relevance.
NB: Due to the inconsistency of floating point arithmetic, when sorting,
round the scores to 6 decimal places (e.g., round(x, 6)). This will ensure
replicable results.
Params:
query....A string representing a search query.
scorer...A ScoringFunction to retrieve documents.
index....A Index storing postings lists.
Returns:
A list of document ids in descending order of relevance to the query.
"""
query_tokened = index.tokenize(query)
query_vector = index.query_to_vector(query_tokened)
score = scorer.score(query_vector, index)
sortedlist = sorted(score.items(), key = lambda x: round(x[1],5), reverse=True)
return [i[0] -1 for i in sortedlist]
def getLowestScoreFunc(score):
func = []
lowest_score = score[len(score)]['score']
for key, val in score.items():
if val['score'] == lowest_score:
func.append(val['func'])
print(func)
return func
def plotting_score(way,score):
student_score = list()
for key, value in score.items():
student_score.append(int(value))
std = numpy.std(numpy.array(student_score))
print("The student's standard score is : {}".format(std))
input("Press any key to leave ...")
def median_score(way,score):
student_score = list()
for key, value in score.items():
student_score.append(int(value))
std = numpy.median(numpy.array(student_score))
print("The student's median score is : {}".format(std))
input("Press any key to leave ...")