We observed that generally the embedding representation is very rich and information dense. For example, reducing the dimensionality of the inputs using SVD or PCA, even by 10%, generally results in worse downstream performance on specific tasks.
moving:
to the end of the command: ctrl-e
to the begin of the command: ctrl-a
forward a word: alt-f
backword a word: alt-b
deleting:
from current cursor position to the end of word: ald-d
from current cursor position to the begin of word: clt-w
If you upgrade your spring-boot version to >= 2.3.0 you can enable the liveness and readiness probes by adding:
management:
health:
probes:
enabled: true
You need to manually import the ServerHttpSecurity invoke.
import org.springframework.security.config.web.server.invoke
/
import org.springframework.security.config.annotation.web.invoke
A Dockerfile that performs a Jib-like build is shown below:
# Jib uses Adoptium Eclipse Temurin (formerly AdoptOpenJDK).
FROM eclipse-temurin:11-jre
# Multiple copy statements are used to break the app into layers,
# allowing for faster rebuilds after small changes
COPY dependencyJars /app/libs
COPY snapshotDependencyJars /app/libs
COPY projectDependencyJars /app/libs
COPY resources /app/resources
COPY classFiles /app/classes
# Jib's extra directory ("src/main/jib" by default) is used to add extra, non-classpath files
COPY src/main/jib /
# Jib's default entrypoint when container.entrypoint is not set
ENTRYPOINT ["java", jib.container.jvmFlags, "-cp", "/app/resources:/app/classes:/app/libs/*", jib.container.mainClass]
CMD [jib.container.args]
v1.6.0 has been released with this feature; prefix your source image configuration with docker:// to use a base image stored in the Docker daemon.
Gradle: jib.from.image = 'docker://docker-image'
Maven: <from><image>docker://docker-image</image></from>
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D. Pavlovic, P. Pepper, and D. Smith. Mathematics of Program Construction, volume 6120 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2010)
M. Baroni, and R. Zamparelli. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, page 1183--1193. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
R. Khatchadourian, P. Greenwood, A. Rashid, and G. Xu. Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering, page 575--579. Washington, DC, USA, IEEE Computer Society, (2009)
C. Scholz, J. Illig, M. Atzmueller, and G. Stumme. Proceedings of the 25th ACM Conference on Hypertext and Social Media, page 279--284. Santiago, Chile, ACM, (September 2014)
C. Wang, J. Han, Y. Jia, J. Tang, D. Zhang, Y. Yu, and J. Guo. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 203--212. New York, NY, USA, ACM, (2010)