User Guide / Tutorial:
How to use PyNNDescent
PyNNDescent with different metrics
Working with sparse data
Working with Scikit-learn pipelines
Background
How PyNNDescent works
PyNNDescent Performance
API Reference:
PyNNDescent API Guide
pynndescent
Index
Index
A
|
B
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C
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D
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E
|
F
|
H
|
I
|
J
|
K
|
M
|
P
|
Q
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R
|
S
|
T
|
W
|
Y
A
alternative_cosine() (in module pynndescent.distances)
alternative_dot() (in module pynndescent.distances)
alternative_hellinger() (in module pynndescent.distances)
alternative_inner_product() (in module pynndescent.distances)
alternative_jaccard() (in module pynndescent.distances)
B
bit_hamming() (in module pynndescent.distances)
bit_jaccard() (in module pynndescent.distances)
bray_curtis() (in module pynndescent.distances)
C
canberra() (in module pynndescent.distances)
chebyshev() (in module pynndescent.distances)
circular_kantorovich() (in module pynndescent.distances)
correlation() (in module pynndescent.distances)
cosine() (in module pynndescent.distances)
D
dice() (in module pynndescent.distances)
dot() (in module pynndescent.distances)
E
euclidean() (in module pynndescent.distances)
F
fit() (pynndescent.pynndescent_.PyNNDescentTransformer method)
fit_transform() (pynndescent.pynndescent_.PyNNDescentTransformer method)
H
hamming() (in module pynndescent.distances)
haversine() (in module pynndescent.distances)
hellinger() (in module pynndescent.distances)
I
inner_product() (in module pynndescent.distances)
J
jaccard() (in module pynndescent.distances)
jensen_shannon_divergence() (in module pynndescent.distances)
K
kantorovich() (in module pynndescent.distances)
kulsinski() (in module pynndescent.distances)
M
mahalanobis() (in module pynndescent.distances)
manhattan() (in module pynndescent.distances)
matching() (in module pynndescent.distances)
minkowski() (in module pynndescent.distances)
module
pynndescent.distances
P
proxy_circular_kantorovich() (in module pynndescent.distances)
proxy_inner_product() (in module pynndescent.distances)
proxy_jensen_shannon() (in module pynndescent.distances)
proxy_kantorovich() (in module pynndescent.distances)
proxy_sinkhorn() (in module pynndescent.distances)
proxy_symmetric_kl() (in module pynndescent.distances)
proxy_wasserstein_1d() (in module pynndescent.distances)
pynndescent.distances
module
PyNNDescentTransformer (class in pynndescent.pynndescent_)
Q
quantized_uint4_alternative_cosine() (in module pynndescent.distances)
quantized_uint4_alternative_dot() (in module pynndescent.distances)
quantized_uint4_sq_euclidean() (in module pynndescent.distances)
quantized_uint8_alternative_cosine() (in module pynndescent.distances)
quantized_uint8_alternative_dot() (in module pynndescent.distances)
quantized_uint8_sq_euclidean() (in module pynndescent.distances)
R
rogers_tanimoto() (in module pynndescent.distances)
russellrao() (in module pynndescent.distances)
S
set_fit_request() (pynndescent.pynndescent_.PyNNDescentTransformer method)
sinkhorn() (in module pynndescent.distances)
sokal_michener() (in module pynndescent.distances)
sokal_sneath() (in module pynndescent.distances)
spearmanr() (in module pynndescent.distances)
squared_euclidean() (in module pynndescent.distances)
standardised_euclidean() (in module pynndescent.distances)
symmetric_kl_divergence() (in module pynndescent.distances)
T
transform() (pynndescent.pynndescent_.PyNNDescentTransformer method)
true_angular() (in module pynndescent.distances)
tsss() (in module pynndescent.distances)
W
wasserstein_1d() (in module pynndescent.distances)
weighted_minkowski() (in module pynndescent.distances)
Y
yule() (in module pynndescent.distances)