BASHA TECH
환경 세팅 Visual Studio Tools 설치 본문
728x90
https://visualstudio.microsoft.com/ko/downloads/
Anaconda Prompt>>
conda create -n ml-dev python=3.9
(base) C:\Windows\system32>conda create -n ml-dev python=3.9
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.14.0
latest version: 22.9.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: D:\Anaconda3\envs\ml-dev
added / updated specs:
- python=3.9
The following packages will be downloaded:
package | build
---------------------------|-----------------
certifi-2022.9.14 | py39haa95532_0 155 KB
pip-22.2.2 | py39haa95532_0 2.3 MB
python-3.9.13 | h6244533_1 17.1 MB
sqlite-3.39.3 | h2bbff1b_0 804 KB
------------------------------------------------------------
Total: 20.3 MB
The following NEW packages will be INSTALLED:
ca-certificates pkgs/main/win-64::ca-certificates-2022.07.19-haa95532_0
certifi pkgs/main/win-64::certifi-2022.9.14-py39haa95532_0
openssl pkgs/main/win-64::openssl-1.1.1q-h2bbff1b_0
pip pkgs/main/win-64::pip-22.2.2-py39haa95532_0
python pkgs/main/win-64::python-3.9.13-h6244533_1
setuptools pkgs/main/win-64::setuptools-63.4.1-py39haa95532_0
sqlite pkgs/main/win-64::sqlite-3.39.3-h2bbff1b_0
tzdata pkgs/main/noarch::tzdata-2022c-h04d1e81_0
vc pkgs/main/win-64::vc-14.2-h21ff451_1
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
wincertstore pkgs/main/win-64::wincertstore-0.2-py39haa95532_2
Proceed ([y]/n)?
conda activate ml-dev
cd big15
cd ml-dev
pip install scikit-learn numpy pandas matplotlib seaborn
done
#
# To activate this environment, use
#
# $ conda activate ml-dev
#
# To deactivate an active environment, use
#
# $ conda deactivate
Retrieving notices: ...working... done
(base) C:\Windows\system32>
(base) C:\Windows\system32>conda activate ml-dev
(ml-dev) C:\Windows\system32>cd big15
지정된 경로를 찾을 수 없습니다.
(ml-dev) C:\Windows\system32>cd big15
지정된 경로를 찾을 수 없습니다.
(ml-dev) C:\Windows\system32>cd ml-dev
지정된 경로를 찾을 수 없습니다.
(ml-dev) C:\Windows\system32>pip install scikit-learn numpy pandas matplotlib seaborn
Collecting scikit-learn
Downloading scikit_learn-1.1.2-cp39-cp39-win_amd64.whl (7.4 MB)
---------------------------------------- 7.4/7.4 MB 18.2 MB/s eta 0:00:00
Collecting numpy
Using cached numpy-1.23.3-cp39-cp39-win_amd64.whl (14.7 MB)
Collecting pandas
Downloading pandas-1.5.0-cp39-cp39-win_amd64.whl (10.9 MB)
---------------------------------------- 10.9/10.9 MB 18.7 MB/s eta 0:00:00
Collecting matplotlib
Downloading matplotlib-3.6.0-cp39-cp39-win_amd64.whl (7.2 MB)
---------------------------------------- 7.2/7.2 MB 28.8 MB/s eta 0:00:00
Collecting seaborn
Downloading seaborn-0.12.0-py3-none-any.whl (285 kB)
---------------------------------------- 285.1/285.1 kB 4.4 MB/s eta 0:00:00
Collecting scipy>=1.3.2
Downloading scipy-1.9.1-cp39-cp39-win_amd64.whl (38.6 MB)
---------------------------------------- 38.6/38.6 MB 3.4 MB/s eta 0:00:00
Collecting threadpoolctl>=2.0.0
Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting joblib>=1.0.0
Using cached joblib-1.2.0-py3-none-any.whl (297 kB)
Collecting pytz>=2020.1
Downloading pytz-2022.4-py2.py3-none-any.whl (500 kB)
---------------------------------------- 500.8/500.8 kB 1.2 MB/s eta 0:00:00
Collecting python-dateutil>=2.8.1
Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting cycler>=0.10
Downloading cycler-0.11.0-py3-none-any.whl (6.4 kB)
Collecting packaging>=20.0
Using cached packaging-21.3-py3-none-any.whl (40 kB)
Collecting fonttools>=4.22.0
Downloading fonttools-4.37.4-py3-none-any.whl (960 kB)
---------------------------------------- 960.8/960.8 kB 3.0 MB/s eta 0:00:00
Collecting contourpy>=1.0.1
Downloading contourpy-1.0.5-cp39-cp39-win_amd64.whl (161 kB)
---------------------------------------- 162.0/162.0 kB 1.9 MB/s eta 0:00:00
Collecting pyparsing>=2.2.1
Using cached pyparsing-3.0.9-py3-none-any.whl (98 kB)
Collecting pillow>=6.2.0
Downloading Pillow-9.2.0-cp39-cp39-win_amd64.whl (3.3 MB)
---------------------------------------- 3.3/3.3 MB 23.2 MB/s eta 0:00:00
Collecting kiwisolver>=1.0.1
Downloading kiwisolver-1.4.4-cp39-cp39-win_amd64.whl (55 kB)
---------------------------------------- 55.4/55.4 kB 728.6 kB/s eta 0:00:00
Collecting six>=1.5
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: pytz, threadpoolctl, six, pyparsing, pillow, numpy, kiwisolver, joblib, fonttools, cycler, scipy, python-dateutil, packaging, contourpy, scikit-learn, pandas, matplotlib, seaborn
visual studio code
ctrl+shift+p => interpreter 설정해주기
정상적으로 동작한다면 ok
728x90
반응형
'Computer > Machine Learning' 카테고리의 다른 글
Human Activity Recognition Using Smartphones Data Set (0) | 2022.10.13 |
---|---|
Pima indian diabetes : 피마 인디언 당뇨병 예측 (0) | 2022.10.13 |
Ch3. 평가 (0) | 2022.10.12 |
Ch2. 사이킷런으로 시작하는 머신러닝 (0) | 2022.10.07 |
Ch1. 파이썬 기반의 머신러닝과 생태계 이해 (0) | 2022.10.06 |
Comments