jrcf


Namejrcf JSON
Version 0.3.1 PyPI version JSON
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home_pageNone
SummaryAWS's Java Rancom Cut Forest
upload_time2025-02-03 02:16:45
maintainerNone
docs_urlNone
authorNone
requires_python>=3.10
licenseApache-2.0
keywords rcf random-cut-forest anomaly-detection
VCS
bugtrack_url
requirements No requirements were recorded.
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coveralls test coverage No coveralls.
            # JRCF

Java Random Cut Forest

https://github.com/aws/random-cut-forest-by-aws 저장소의 `python_rcf_wrapper`를 참고하여 파이썬에서 실행할 수 있도록 구성한 Random Cut Forest 알고리즘입니다.

## Requirements

- Java 8 or later

## Installation

```sh
pip install jrcf
```

## Usage

```python
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))
```

            

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