iML (innovata Machine Learning)
- NLTK
- KoNLPy (https://pypi.org/project/konlpy/)
- 설치 pakages : JPype1-0.6.3 konlpy-0.5.1
사전작업
- ROOT_PATH 를 OS-환경변수로 수동으로 저장. : export ROOT_PATH=your_root_path
임시방편 작업 (PyPI 패키지 정식 등록 전)
- LIB_PATH 를 OS-환경변수로 수동으로 저장. : export LIB_PATH=~/libs
1 maintainer
Release files for i-ML 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| i-ML-0.0.1.tar.gz | 1.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| i_ML-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.7 kB
Release files / i-ML-0.0.1.tar.gz
| Download URL | i-ML-0.0.1.tar.gz |
|---|---|
| Size | 1.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.2
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Release files / i_ML-0.0.1-py3-none-any.whl
| Download URL | i_ML-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
16b707e9eef9510c869a1dccd76624d753b00fe97864c3f4ee1ed741cef398fc
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BLAKE2b-256 checksum How to use checksums |
59b5c7a2b8c149612af2e6f3543b5c41c433c78492ef0d04e74e7816791e455f
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.2
|
