Implicit
0.6
Contents:
Installation
Tutorial
API Reference
Resources
Implicit
»
Index
Index
A
|
B
|
C
|
E
|
F
|
I
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
U
A
AlternatingLeastSquares (class in implicit.cpu.als)
(class in implicit.gpu.als)
AnnoyModel (class in implicit.ann.annoy)
AUC_at_k() (in module implicit.evaluation)
B
BayesianPersonalizedRanking (class in implicit.cpu.bpr)
(class in implicit.gpu.bpr)
BM25Recommender (class in implicit.nearest_neighbours)
C
CosineRecommender (class in implicit.nearest_neighbours)
E
explain() (implicit.cpu.als.AlternatingLeastSquares method)
F
FaissModel (class in implicit.ann.faiss)
fit() (implicit.ann.annoy.AnnoyModel method)
(implicit.ann.faiss.FaissModel method)
(implicit.ann.nmslib.NMSLibModel method)
(implicit.cpu.als.AlternatingLeastSquares method)
(implicit.cpu.bpr.BayesianPersonalizedRanking method)
(implicit.cpu.lmf.LogisticMatrixFactorization method)
(implicit.gpu.als.AlternatingLeastSquares method)
(implicit.gpu.bpr.BayesianPersonalizedRanking method)
(implicit.recommender_base.RecommenderBase method)
I
implicit.evaluation
module
item_factors (implicit.cpu.als.AlternatingLeastSquares attribute)
(implicit.cpu.bpr.BayesianPersonalizedRanking attribute)
(implicit.cpu.lmf.LogisticMatrixFactorization attribute)
(implicit.cpu.matrix_factorization_base.MatrixFactorizationBase attribute)
(implicit.gpu.als.AlternatingLeastSquares attribute)
(implicit.gpu.bpr.BayesianPersonalizedRanking attribute)
(implicit.gpu.matrix_factorization_base.MatrixFactorizationBase attribute)
ItemItemRecommender (class in implicit.nearest_neighbours)
L
leave_k_out_split() (in module implicit.evaluation)
load() (implicit.ann.annoy.AnnoyModel class method)
(implicit.ann.faiss.FaissModel class method)
(implicit.ann.nmslib.NMSLibModel class method)
(implicit.cpu.als.AlternatingLeastSquares class method)
(implicit.cpu.bpr.BayesianPersonalizedRanking class method)
(implicit.cpu.lmf.LogisticMatrixFactorization class method)
(implicit.gpu.als.AlternatingLeastSquares class method)
(implicit.gpu.bpr.BayesianPersonalizedRanking class method)
(implicit.gpu.matrix_factorization_base.MatrixFactorizationBase class method)
(implicit.nearest_neighbours.ItemItemRecommender class method)
(implicit.recommender_base.RecommenderBase class method)
LogisticMatrixFactorization (class in implicit.cpu.lmf)
M
MatrixFactorizationBase (class in implicit.cpu.matrix_factorization_base)
(class in implicit.gpu.matrix_factorization_base)
mean_average_precision_at_k() (in module implicit.evaluation)
module
implicit.evaluation
N
ndcg_at_k() (in module implicit.evaluation)
NMSLibModel (class in implicit.ann.nmslib)
num_threads (implicit.cpu.matrix_factorization_base.MatrixFactorizationBase attribute)
P
partial_fit_items() (implicit.cpu.als.AlternatingLeastSquares method)
(implicit.gpu.als.AlternatingLeastSquares method)
partial_fit_users() (implicit.cpu.als.AlternatingLeastSquares method)
(implicit.gpu.als.AlternatingLeastSquares method)
precision_at_k() (in module implicit.evaluation)
R
ranking_metrics_at_k() (in module implicit.evaluation)
recalculate_item() (implicit.cpu.als.AlternatingLeastSquares method)
recalculate_user() (implicit.cpu.als.AlternatingLeastSquares method)
recommend() (implicit.ann.annoy.AnnoyModel method)
(implicit.ann.faiss.FaissModel method)
(implicit.ann.nmslib.NMSLibModel method)
(implicit.cpu.als.AlternatingLeastSquares method)
(implicit.cpu.bpr.BayesianPersonalizedRanking method)
(implicit.cpu.lmf.LogisticMatrixFactorization method)
(implicit.gpu.als.AlternatingLeastSquares method)
(implicit.gpu.bpr.BayesianPersonalizedRanking method)
(implicit.gpu.matrix_factorization_base.MatrixFactorizationBase method)
(implicit.recommender_base.RecommenderBase method)
recommend_index (implicit.ann.annoy.AnnoyModel attribute)
(implicit.ann.faiss.FaissModel attribute)
(implicit.ann.nmslib.NMSLibModel attribute)
RecommenderBase (class in implicit.recommender_base)
S
save() (implicit.ann.annoy.AnnoyModel method)
(implicit.ann.faiss.FaissModel method)
(implicit.ann.nmslib.NMSLibModel method)
(implicit.cpu.als.AlternatingLeastSquares method)
(implicit.cpu.bpr.BayesianPersonalizedRanking method)
(implicit.cpu.lmf.LogisticMatrixFactorization method)
(implicit.gpu.als.AlternatingLeastSquares method)
(implicit.gpu.bpr.BayesianPersonalizedRanking method)
(implicit.gpu.matrix_factorization_base.MatrixFactorizationBase method)
(implicit.nearest_neighbours.ItemItemRecommender method)
(implicit.recommender_base.RecommenderBase method)
similar_items() (implicit.ann.annoy.AnnoyModel method)
(implicit.ann.faiss.FaissModel method)
(implicit.ann.nmslib.NMSLibModel method)
(implicit.cpu.als.AlternatingLeastSquares method)
(implicit.cpu.bpr.BayesianPersonalizedRanking method)
(implicit.cpu.lmf.LogisticMatrixFactorization method)
(implicit.gpu.als.AlternatingLeastSquares method)
(implicit.gpu.bpr.BayesianPersonalizedRanking method)
(implicit.gpu.matrix_factorization_base.MatrixFactorizationBase method)
(implicit.recommender_base.RecommenderBase method)
similar_items_index (implicit.ann.annoy.AnnoyModel attribute)
(implicit.ann.faiss.FaissModel attribute)
(implicit.ann.nmslib.NMSLibModel attribute)
similar_users() (implicit.ann.annoy.AnnoyModel method)
(implicit.ann.faiss.FaissModel method)
(implicit.ann.nmslib.NMSLibModel method)
(implicit.cpu.als.AlternatingLeastSquares method)
(implicit.cpu.bpr.BayesianPersonalizedRanking method)
(implicit.cpu.lmf.LogisticMatrixFactorization method)
(implicit.gpu.als.AlternatingLeastSquares method)
(implicit.gpu.bpr.BayesianPersonalizedRanking method)
(implicit.gpu.matrix_factorization_base.MatrixFactorizationBase method)
(implicit.recommender_base.RecommenderBase method)
T
TFIDFRecommender (class in implicit.nearest_neighbours)
to_cpu() (implicit.gpu.als.AlternatingLeastSquares method)
(implicit.gpu.bpr.BayesianPersonalizedRanking method)
to_gpu() (implicit.cpu.als.AlternatingLeastSquares method)
(implicit.cpu.bpr.BayesianPersonalizedRanking method)
train_test_split() (in module implicit.evaluation)
U
user_factors (implicit.cpu.als.AlternatingLeastSquares attribute)
(implicit.cpu.bpr.BayesianPersonalizedRanking attribute)
(implicit.cpu.lmf.LogisticMatrixFactorization attribute)
(implicit.cpu.matrix_factorization_base.MatrixFactorizationBase attribute)
(implicit.gpu.als.AlternatingLeastSquares attribute)
(implicit.gpu.bpr.BayesianPersonalizedRanking attribute)
(implicit.gpu.matrix_factorization_base.MatrixFactorizationBase attribute)