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Python Evaluation.evaluate_all 예제들
프로그래밍 언어:
Python
네임스페이스/패키지 이름:
evaluation
클래스/타입:
Evaluation
메소드/함수:
evaluate_all
hotexamples.com에서의 예제들:
1
Python Evaluation.evaluate_all - 1개의 예제가 발견되었습니다
. 이것들은 오픈소스 프로젝트에서 추출된 Python의
evaluation.Evaluation.evaluate_all
에 대한 실세계 최고 등급의 예제들입니다. 예제들을 평가하여 예제의 품질 향상에 도움을 줄 수 있습니다.
자주 사용되는 메소드들
보기
숨기기
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evaluate(16)
Precision(14)
MAP(12)
MRR(10)
add_grade(7)
accuracy(7)
create(5)
affichage_score(5)
Recall(4)
MeanAveragePrecision(4)
average_precision(3)
ebf(3)
average_ndcg(3)
exactSetMatches(2)
collect(2)
compare_similarity(2)
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confusion_matrix(2)
draw_cdf(2)
draw_pdf(2)
calculate_jitter(2)
calculate_performance(2)
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build_confusion_matrix(2)
find_by_id(2)
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average_recall(2)
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evaluate_dblp(1)
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eval_train(1)
workerStatistics(1)
evaluate_acm(1)
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evaluate_all(1)
evaluate_lexicons(1)
full_graph_description_length(1)
evaluate_imdb(1)
erroneous_info(1)
evaluate_sampling(1)
evaluate_subgraph_sampling(1)
full_evaluation(1)
evaluate_tree(1)
evaluations(1)
from_options(1)
forward(1)
extractFeedback(1)
자주 사용되는 메소드들
Evaluation (30)
evaluate (16)
Precision (14)
MAP (12)
MRR (10)
add_grade (7)
accuracy (7)
create (5)
affichage_score (5)
Recall (4)
자주 사용되는 메소드들
MeanAveragePrecision (4)
average_precision (3)
ebf (3)
average_ndcg (3)
exactSetMatches (2)
collect (2)
compare_similarity (2)
AMS (2)
confusion_matrix (2)
draw_cdf (2)
draw_pdf (2)
calculate_jitter (2)
calculate_performance (2)
calculate_delay (2)
build_confusion_matrix (2)
find_by_id (2)
get_all_performance_of_some_queries (2)
average_recall (2)
f_score (1)
evaluate_dblp (1)
자주 사용되는 메소드들
draw_pdf (2)
calculate_jitter (2)
calculate_performance (2)
calculate_delay (2)
build_confusion_matrix (2)
find_by_id (2)
get_all_performance_of_some_queries (2)
average_recall (2)
f_score (1)
evaluate_dblp (1)
evalValue (1)
workingTime (1)
eval_test (1)
eval_train (1)
workerStatistics (1)
evaluate_acm (1)
full_graph_modularity (1)
evaluate_all (1)
evaluate_lexicons (1)
full_graph_description_length (1)
evaluate_imdb (1)
erroneous_info (1)
evaluate_sampling (1)
evaluate_subgraph_sampling (1)
full_evaluation (1)
evaluate_tree (1)
evaluations (1)
from_options (1)
forward (1)
extractFeedback (1)
자주 사용되는 메소드들
evalValue (1)
workingTime (1)
eval_test (1)
eval_train (1)
workerStatistics (1)
evaluate_acm (1)
full_graph_modularity (1)
evaluate_all (1)
evaluate_lexicons (1)
full_graph_description_length (1)
evaluate_imdb (1)
erroneous_info (1)
evaluate_sampling (1)
evaluate_subgraph_sampling (1)
full_evaluation (1)
evaluate_tree (1)
evaluations (1)
from_options (1)
forward (1)
extractFeedback (1)
eval (1)
do_calculation_averaged (1)
entropy_truth_given_algorithm (1)
calibrate (1)
EvaluateModel (1)
add (1)
add_prediction (1)
adjusted_rand_index (1)
answer (1)
board (1)
build_df_lex_results (1)
calc_precision_at_n (1)
calculate_coherence (1)
calculate_cost (1)
calculate_packet_loss (1)
calculate_revenue (1)
cf_matrix (1)
entropy_truth (1)
computeSeqAccuracy (1)
compute_error_rates (1)
예제 #1
0
파일 보기
파일:
main.py
프로젝트:
TeumessianFox/pmpq
def main(): eval = Evaluation() eval.evaluate_all()