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config.yml
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config.yml
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bit:
hamming:
- base_args: ['@metric']
constructor: PyNNDescent
disabled: false
docker_tag: ann-benchmarks-pynndescent
module: ann_benchmarks.algorithms.pynndescent
name: pynndescent
run_groups:
NN-120:
arg_groups: [{diversify_prob: [0.0, 1.0], leaf_size: 80, n_neighbors: [120],
pruning_degree_multiplier: [2.0, 2.5]}]
args: {}
query_args: [[0.08, 0.16, 0.2, 0.24, 0.28, 0.32, 0.36]]
NN-20:
arg_groups: [{diversify_prob: [0.75, 1.0], leaf_size: 32, n_neighbors: [20],
pruning_degree_multiplier: [1.0, 1.5]}]
args: {}
query_args: [[0.0, 0.01, 0.02, 0.04, 0.08, 0.12, 0.16]]
NN-40:
arg_groups: [{diversify_prob: [0.5, 1.0], leaf_size: 48, n_neighbors: [40],
pruning_degree_multiplier: [1.5, 2.0]}]
args: {}
query_args: [[0.0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24]]
NN-80:
arg_groups: [{diversify_prob: [0.25, 1.0], leaf_size: 64, n_neighbors: [80],
pruning_degree_multiplier: [1.75, 2.25]}]
args: {}
query_args: [[0.0, 0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32]]
jaccard:
- base_args: ['@metric']
constructor: PyNNDescent
disabled: false
docker_tag: ann-benchmarks-pynndescent
module: ann_benchmarks.algorithms.pynndescent
name: pynndescent
run_groups:
NN-120:
arg_groups: [{diversify_prob: [1.0, 0.125], leaf_size: 80, n_neighbors: 120,
pruning_degree_multiplier: 1.0}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.06, 0.08, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22]]
NN-20:
arg_groups: [{diversify_prob: [0.75, 1.0], leaf_size: 30, n_neighbors: 20,
pruning_degree_multiplier: 1.0}]
args: {}
query_args: [[0.0, 0.01, 0.02, 0.03, 0.04, 0.06, 0.08, 0.12, 0.16, 0.2]]
NN-40:
arg_groups: [{diversify_prob: [0.5, 1.0], leaf_size: 30, n_neighbors: 40,
pruning_degree_multiplier: 1.0}]
args: {}
query_args: [[0.0, 0.01, 0.02, 0.03, 0.04, 0.06, 0.08, 0.12, 0.16, 0.2]]
NN-80:
arg_groups: [{diversify_prob: [1.0, 0.25], leaf_size: 60, n_neighbors: 80,
pruning_degree_multiplier: 1.0}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.06, 0.08, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22]]
float:
angular:
- base_args: ['@metric']
constructor: PyNNDescent
disabled: false
docker_tag: ann-benchmarks-pynndescent
module: ann_benchmarks.algorithms.pynndescent
name: pynndescent
run_groups:
NN-120-accurate:
arg_groups: [{diversify_prob: 0.125, leaf_size: 35, n_neighbors: 120, pruning_degree_multiplier: 2.5}]
args: {}
query_args: [[0.16, 0.2, 0.24, 0.28, 0.32, 0.36]]
NN-120-fast:
arg_groups: [{diversify_prob: 1.0, leaf_size: 20, n_neighbors: 120, pruning_degree_multiplier: 2.5}]
args: {}
query_args: [[0.0, 0.04, 0.08, 0.16, 0.2, 0.24, 0.28, 0.32]]
NN-20:
arg_groups: [{diversify_prob: [1.0], leaf_size: 20, n_neighbors: [20], pruning_degree_multiplier: [
0.5, 1.0]}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12]]
NN-40:
arg_groups: [{diversify_prob: [0.5, 1.0], leaf_size: 25, n_neighbors: [40],
pruning_degree_multiplier: [1.5]}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16]]
NN-80-accurate:
arg_groups: [{diversify_prob: 0.25, leaf_size: 30, n_neighbors: 80, pruning_degree_multiplier: 2.0}]
args: {}
query_args: [[0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32, 0.36]]
NN-80-fast:
arg_groups: [{diversify_prob: 1.0, leaf_size: 20, n_neighbors: 80, pruning_degree_multiplier: 2.0}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24]]
any:
- base_args: ['@metric']
constructor: PyNNDescent
disabled: false
docker_tag: ann-benchmarks-pynndescent
module: ann_benchmarks.algorithms.pynndescent
name: pynndescent
run_groups:
NN-10-20:
arg_groups: [{diversify_prob: [1.0], leaf_size: 32, n_neighbors: [10, 20],
pruning_degree_multiplier: [1.5, 2.0]}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16]]
NN-40-80:
arg_groups: [{diversify_prob: [0.0, 1.0], leaf_size: 64, n_neighbors: [40,
80], pruning_degree_multiplier: [2.0, 2.5]}]
args: {}
query_args: [[0.0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32]]
euclidean:
- base_args: ['@metric']
constructor: PyNNDescent
disabled: false
docker_tag: ann-benchmarks-pynndescent
module: ann_benchmarks.algorithms.pynndescent
name: pynndescent
run_groups:
NN-10:
arg_groups: [{diversify_prob: 1.0, leaf_size: 24, n_neighbors: 10, pruning_degree_multiplier: [
0.5, 1.0]}]
args: {}
query_args: [[0.0, 0.01, 0.02, 0.03, 0.04, 0.06, 0.08, 0.1, 0.12]]
NN-20:
arg_groups: [{diversify_prob: 1.0, leaf_size: 24, n_neighbors: 20, pruning_degree_multiplier: [
0.75, 1.5]}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.2]]
NN-40:
arg_groups: [{diversify_prob: [0.0, 1.0], leaf_size: 36, n_neighbors: 40,
pruning_degree_multiplier: [1.0, 2.0]}]
args: {}
query_args: [[0.0, 0.02, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32]]
NN-60:
arg_groups: [{diversify_prob: 0.0, leaf_size: 48, n_neighbors: 60, pruning_degree_multiplier: [
2.0, 3.0]}]
args: {}
query_args: [[0.0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32, 0.36]]