JRCF
Java Random Cut Forest
https://github.com/aws/random-cut-forest-by-aws 저장소의 python_rcf_wrapper를 참고하여 파이썬에서 실행할 수 있도록 구성한 Random Cut Forest 알고리즘입니다.
Requirements
- Java 11 or later
Installation
pip install jrcf
Usage
import numpy as np
from tqdm.auto import tqdm
from jrcf.rcf import RandomCutForestModel
dim = 5
forest = RandomCutForestModel(dimensions=dim)
TEST_DATA = np.random.normal(size=(100000, dim))
for point in tqdm(TEST_DATA):
score = forest.score(point)
forest.update(point)
pp = [999] * dim
print(forest.score(pp))
1 maintainer
Metadata
1 maintainer
Release files for jrcf 0.5.0
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| File | Size | Uploaded | |
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| jrcf-0.5.0.tar.gz | 3.2 MB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jrcf-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.7 MB
Release files / jrcf-0.5.0.tar.gz
| Download URL | jrcf-0.5.0.tar.gz |
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| Size | 3.2 MB |
| Tags | Source |
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| Size | 2.6 MB |
| Tags | Python 3 |
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