LensKit
0.6.1
Contents:
Getting Started
Algorithm Interfaces
Crossfold preparation
Batch-Running Recommenders
Evaluating Recommender Output
Errors and Diagnostics
Algorithms
Utility Functions
Release Notes
LensKit
Docs
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Index
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Index
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A
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B
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C
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D
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F
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G
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H
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I
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L
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M
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N
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P
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R
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S
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T
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U
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V
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W
_
__call__() (lenskit.crossfold.PartitionMethod method)
_CSR (class in lenskit.matrix)
_dcg() (in module lenskit.metrics.topn)
_dposv() (in module lenskit.math.solve)
_dtrsv() (in module lenskit.math.solve)
A
adapt() (lenskit.algorithms.Recommender class method)
add_algorithms() (lenskit.batch.MultiEval method)
add_datasets() (lenskit.batch.MultiEval method)
add_metric() (lenskit.topn.RecListAnalysis method)
Algorithm (class in lenskit.algorithms)
ALS (class in lenskit.algorithms.implicit)
B
Bias (class in lenskit.algorithms.basic)
BiasedMF (class in lenskit.algorithms.als)
BiasMFPredictor (class in lenskit.algorithms.mf_common)
BPR (class in lenskit.algorithms.implicit)
C
candidates() (lenskit.algorithms.CandidateSelector method)
CandidateSelector (class in lenskit.algorithms)
clone() (in module lenskit.util)
colinds (lenskit.matrix.CSR attribute)
collect_results() (lenskit.batch.MultiEval method)
compute() (lenskit.topn.RecListAnalysis method)
CSR (class in lenskit.matrix)
D
DataWarning (class in lenskit)
dposv() (in module lenskit.math.solve)
F
Fallback (class in lenskit.algorithms.basic)
fit() (lenskit.algorithms.Algorithm method)
(lenskit.algorithms.als.BiasedMF method)
(lenskit.algorithms.als.ImplicitMF method)
(lenskit.algorithms.basic.Bias method)
(lenskit.algorithms.basic.Fallback method)
(lenskit.algorithms.basic.Memorized method)
(lenskit.algorithms.funksvd.FunkSVD method)
(lenskit.algorithms.hpf.HPF method)
(lenskit.algorithms.item_knn.ItemItem method)
(lenskit.algorithms.user_knn.UserUser method)
from_coo() (lenskit.matrix.CSR class method)
from_scipy() (lenskit.matrix.CSR class method)
fspath() (in module lenskit.util)
FunkSVD (class in lenskit.algorithms.funksvd)
G
get_params() (lenskit.algorithms.Algorithm method)
global_bias_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute)
H
HPF (class in lenskit.algorithms.hpf)
I
ImplicitMF (class in lenskit.algorithms.als)
item_bias_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute)
item_counts_ (lenskit.algorithms.item_knn.ItemItem attribute)
item_features_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute)
(lenskit.algorithms.mf_common.MFPredictor attribute)
item_index_ (lenskit.algorithms.item_knn.ItemItem attribute)
(lenskit.algorithms.mf_common.BiasMFPredictor attribute)
(lenskit.algorithms.mf_common.MFPredictor attribute)
(lenskit.algorithms.user_knn.UserUser attribute)
item_means_ (lenskit.algorithms.item_knn.ItemItem attribute)
item_offsets_ (lenskit.algorithms.basic.Bias attribute)
ItemItem (class in lenskit.algorithms.item_knn)
items (lenskit.matrix.RatingMatrix attribute)
L
LastFrac() (in module lenskit.crossfold)
LastN() (in module lenskit.crossfold)
lenskit.algorithms (module)
lenskit.algorithms.als (module)
,
[1]
lenskit.algorithms.basic (module)
lenskit.algorithms.funksvd (module)
lenskit.algorithms.hpf (module)
lenskit.algorithms.implicit (module)
lenskit.algorithms.item_knn (module)
lenskit.algorithms.mf_common (module)
lenskit.algorithms.user_knn (module)
lenskit.batch (module)
lenskit.crossfold (module)
lenskit.math.solve (module)
lenskit.matrix (module)
lenskit.metrics.predict (module)
lenskit.metrics.topn (module)
lenskit.topn (module)
lenskit.util (module)
load_ml_ratings() (in module lenskit.util)
lookup_items() (lenskit.algorithms.mf_common.MFPredictor method)
lookup_user() (lenskit.algorithms.mf_common.MFPredictor method)
M
mae() (in module lenskit.metrics.predict)
matrix (lenskit.matrix.RatingMatrix attribute)
mean_ (lenskit.algorithms.basic.Bias attribute)
Memorized (class in lenskit.algorithms.basic)
MFPredictor (class in lenskit.algorithms.mf_common)
MultiEval (class in lenskit.batch)
N
N (lenskit.matrix.CSR attribute)
n_features (lenskit.algorithms.mf_common.MFPredictor attribute)
n_items (lenskit.algorithms.mf_common.MFPredictor attribute)
n_users (lenskit.algorithms.mf_common.MFPredictor attribute)
ncols (lenskit.matrix.CSR attribute)
ndcg() (in module lenskit.metrics.topn)
nnz (lenskit.matrix.CSR attribute)
nrows (lenskit.matrix.CSR attribute)
P
partition_rows() (in module lenskit.crossfold)
partition_users() (in module lenskit.crossfold)
PartitionMethod (class in lenskit.crossfold)
persist_data() (lenskit.batch.MultiEval method)
precision() (in module lenskit.metrics.topn)
predict() (in module lenskit.batch)
(lenskit.algorithms.Predictor method)
predict_for_user() (lenskit.algorithms.als.BiasedMF method)
(lenskit.algorithms.Predictor method)
(lenskit.algorithms.als.ImplicitMF method)
(lenskit.algorithms.basic.Bias method)
(lenskit.algorithms.basic.Fallback method)
(lenskit.algorithms.basic.Memorized method)
(lenskit.algorithms.funksvd.FunkSVD method)
(lenskit.algorithms.hpf.HPF method)
(lenskit.algorithms.item_knn.ItemItem method)
(lenskit.algorithms.user_knn.UserUser method)
Predictor (class in lenskit.algorithms)
R
rated_items() (lenskit.algorithms.CandidateSelector static method)
rating_matrix_ (lenskit.algorithms.item_knn.ItemItem attribute)
(lenskit.algorithms.user_knn.UserUser attribute)
RatingMatrix (class in lenskit.matrix)
read_df_detect() (in module lenskit.util)
recall() (in module lenskit.metrics.topn)
recip_rank() (in module lenskit.metrics.topn)
RecListAnalysis (class in lenskit.topn)
recommend() (in module lenskit.batch)
(lenskit.algorithms.Recommender method)
Recommender (class in lenskit.algorithms)
rmse() (in module lenskit.metrics.predict)
row() (lenskit.matrix.CSR method)
row_cs() (lenskit.matrix.CSR method)
row_extent() (lenskit.matrix.CSR method)
row_nnzs() (lenskit.matrix.CSR method)
row_vs() (lenskit.matrix.CSR method)
rowinds() (lenskit.matrix.CSR method)
rowptrs (lenskit.matrix.CSR attribute)
run() (lenskit.batch.MultiEval method)
run_count() (lenskit.batch.MultiEval method)
S
sample_rows() (in module lenskit.crossfold)
sample_users() (in module lenskit.crossfold)
SampleFrac() (in module lenskit.crossfold)
SampleN() (in module lenskit.crossfold)
score() (lenskit.algorithms.mf_common.BiasMFPredictor method)
(lenskit.algorithms.mf_common.MFPredictor method)
sim_matrix_ (lenskit.algorithms.item_knn.ItemItem attribute)
solve_tri() (in module lenskit.math.solve)
sort_values() (lenskit.matrix.CSR method)
sparse_ratings() (in module lenskit.matrix)
T
test (lenskit.crossfold.TTPair attribute)
to_scipy() (lenskit.matrix.CSR method)
train (lenskit.crossfold.TTPair attribute)
transpose() (lenskit.matrix.CSR method)
transpose_matrix_ (lenskit.algorithms.user_knn.UserUser attribute)
TTPair (class in lenskit.crossfold)
U
user_bias_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute)
user_features_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute)
(lenskit.algorithms.mf_common.MFPredictor attribute)
user_index_ (lenskit.algorithms.item_knn.ItemItem attribute)
(lenskit.algorithms.mf_common.BiasMFPredictor attribute)
(lenskit.algorithms.mf_common.MFPredictor attribute)
(lenskit.algorithms.user_knn.UserUser attribute)
user_means_ (lenskit.algorithms.user_knn.UserUser attribute)
user_offsets_ (lenskit.algorithms.basic.Bias attribute)
users (lenskit.matrix.RatingMatrix attribute)
UserUser (class in lenskit.algorithms.user_knn)
V
values (lenskit.matrix.CSR attribute)
W
write_parquet() (in module lenskit.util)
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v: 0.6.1
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