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pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>3.0.6</version>
<relativePath/>
<!-- lookup parent from repository -->
</parent>
<groupId>com.koreamtc</groupId>
<artifactId>MTC_Homepage</artifactId>
<version>1.1.2</version>
<name>MTC_Homepage</name>
<description>Demo project for Spring Boot</description>
<properties>
<java.version>17</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!-- boot starter -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>

<!-- 추가 -->

<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- Tomcat -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-tomcat</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.tomcat.embed</groupId>
<artifactId>tomcat-embed-jasper</artifactId>
<scope>provided</scope>
</dependency>
<!-- runtime -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<!-- Lombok -->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.24</version>
<scope>provided</scope>
</dependency>
<!-- JSON Simple -->
<dependency>
<groupId>com.googlecode.json-simple</groupId>
<artifactId>json-simple</artifactId>
<version>1.1.1</version>
</dependency>
<!-- JPA -->
<!---->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
<version>3.0.0</version>
</dependency>
<!---->
<!-- Thymeleaf -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>
<!-- 오라클 데이터베이스 -->
<!---->
<!-- https://mvnrepository.com/artifact/com.oracle.ojdbc/ojdbc10 -->
<!-- https://mvnrepository.com/artifact/com.oracle.database.jdbc/ojdbc10 -->
<dependency>
<groupId>com.oracle.database.jdbc</groupId>
<artifactId>ojdbc10</artifactId>
<version>19.19.0.0</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jdbc</artifactId>
</dependency>
<!-- https://mvnrepository.com/artifact/com.oracle.ojdbc/osdt_cert -->
<dependency>
<groupId>com.oracle.ojdbc</groupId>
<artifactId>osdt_cert</artifactId>
<version>19.3.0.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.oracle.database.security/oraclepki -->
<dependency>
<groupId>com.oracle.database.security</groupId>
<artifactId>oraclepki</artifactId>
<version>23.2.0.0</version>
</dependency>
<!---->
<!-- https://mvnrepository.com/artifact/com.oracle.database.security/osdt_core -->
<dependency>
<groupId>com.oracle.database.security</groupId>
<artifactId>osdt_core</artifactId>
<version>21.11.0.0</version>
</dependency>
<!--SMTP-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-mail</artifactId>
</dependency>
<!-- Security -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-security</artifactId>
</dependency>
<!-- security -->
<!-- 추가 -->
</dependencies>

<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>

</project>

이 블로그의 인기 게시물

Python Sklearn make_regression

from sklearn.datasets import make_regression import matplotlib.pyplot as plt X, y = make_regression(n_samples=250, n_features=1, noise=50, random_state=2) plt.scatter(X,y, s=2) plt.show() from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split # 한글 깨짐 없이 나오게 설정 from matplotlib import rcParams # 인코딩 폰트 설정 rcParams['font.family'] = 'New Gulim' rcParams['font.size'] = 10 x_train, x_test, y_train, y_test = train_test_split(X,y, test_size=.20, random_state=0) x_train.shape, x_test.shape, y_train.shape, y_test.shape # 모델 생성 model = LinearRegression() # 학습하기 model.fit(x_train, y_train) # 가중치, 편향치 구하기 model.coef_, model.intercept_ # (array([90.11061494]), 2.4224269924448585) # 결정 계수 model.score(x_train, y_train) # 0.789267454050733 # 추정 pred = model.predict(x_test) # 산점도 plt.scatter(x_test,y_test) plt.plot(x_test, pred, 'r-') plt.show() # 추정 model.predict([[3.0]]) # 학습할 때 주는 데이터의 형식을 따른다 # x의 최소값, 최대값을 계수와 절편을 사용하여 ...

Javascript on 함수

엔터키 감지하기 <input type="password" onkeypress="func(event)" /> function func(event) {      if(event.keyCode == 13) { // keyCode 13은 엔터이다           alert("엔터를 입력했습니다.");     }     if (event.tartget.value == 13) {          alert("엔터를 입력했습니다.");     } }

Grid 정렬

  .container { display : grid ; gap : 22px ; width : 1000px ; grid-template-columns : repeat ( auto-fit , 150px ); margin : auto ; justify-content : center ; } .container {      display : grid ; gap : 22px ; grid-template-columns : repeat ( auto-fit , minmax ( 250px , 1fr )); }