The document discusses strategies for testing Rails applications. It recommends:
1. Writing model unit tests first to cover the core functionality.
2. Using different data strategies like fixtures, fixture replacements, and before blocks depending on the type of data (e.g. master, resource, event data).
3. Sharing testing contexts with descriptive names to clearly express intentions and reduce fatigue when adding new tests.
The key ideas are to choose suitable data strategies for different data types and use naming conventions to make tests more maintainable.
Flowr offers a scatter-gather approach, and works by submitting a web of jobs to the computing cluster using dependencies. It requires two simple data.frames as inputs and supports platforms like LSF, SGE, Torque and SLURM.
This presentation talks about Natural Language Processing using Java. At Museaic, a music intelligence platform, we spent time figuring out how to extract central themes from song lyrics. In this talk, I will cover some of the tasks involved in natural language processing such as named entity recognition, word sense disambiguation and concept/theme extraction. I will also cover libraries available in java such as stanford-nlp, dbpedia-spotlight and graph approaches using WordNet and semantic databases. This talk would help people understand text processing beyond simple keyword approaches and provide them with some of the best techniques/libraries for it in the Java world.
안녕하세요 딥러닝 논문읽기 모임입니다 오늘 논문은 페이스북과 스탠포드에서 2020년에 발표한 'Self-training Improves Pre-training for Natural Language Understanding' 라는 제목의 논문입니다!
논문은 이미지처리 부분에서 Pre-training과 Self training을 합쳤을때
더 나은 결과를 도출할 수 있다는 연구를 진행한 논문입니다!
그리고 Unsupervised Data Augmentation for Consistenct Training과
Self-training with Noisy student improves ImageNet classification 이 두개의 논문은 Self training에 있어서 가장 중요한 건 Unlabel 데이터가 downstream task와 같은 In-domain데이터가 있는 것이 얼마나 중요한지 연구된 논문입니다!
오늘 논문 리뷰를 위해 펀디멘탈팀 김지연님이 자세한 리뷰 도와주셨습니다!
Flowr offers a scatter-gather approach, and works by submitting a web of jobs to the computing cluster using dependencies. It requires two simple data.frames as inputs and supports platforms like LSF, SGE, Torque and SLURM.
This presentation talks about Natural Language Processing using Java. At Museaic, a music intelligence platform, we spent time figuring out how to extract central themes from song lyrics. In this talk, I will cover some of the tasks involved in natural language processing such as named entity recognition, word sense disambiguation and concept/theme extraction. I will also cover libraries available in java such as stanford-nlp, dbpedia-spotlight and graph approaches using WordNet and semantic databases. This talk would help people understand text processing beyond simple keyword approaches and provide them with some of the best techniques/libraries for it in the Java world.
안녕하세요 딥러닝 논문읽기 모임입니다 오늘 논문은 페이스북과 스탠포드에서 2020년에 발표한 'Self-training Improves Pre-training for Natural Language Understanding' 라는 제목의 논문입니다!
논문은 이미지처리 부분에서 Pre-training과 Self training을 합쳤을때
더 나은 결과를 도출할 수 있다는 연구를 진행한 논문입니다!
그리고 Unsupervised Data Augmentation for Consistenct Training과
Self-training with Noisy student improves ImageNet classification 이 두개의 논문은 Self training에 있어서 가장 중요한 건 Unlabel 데이터가 downstream task와 같은 In-domain데이터가 있는 것이 얼마나 중요한지 연구된 논문입니다!
오늘 논문 리뷰를 위해 펀디멘탈팀 김지연님이 자세한 리뷰 도와주셨습니다!
This 28-minute video introduces the concept of the data analysis workflow.
The focus of this video is social science research that employs statistical techniques to analyse data. Many of the issues associated with the statistical data analysis workflow also pervade other forms of social science research (e.g. qualitative data analysis), despite the different nature of the data and the analytical techniques that are used.
Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they have not seen wide spread use. Why has this been the case?
In this presentation, we will first introduce RNNs as a concept. Then we will sketch how to implement them and cover the tricks necessary to make them work well. With the basics covered, we will investigate using RNNs as general text classification and regression models, examining where they succeed and where they fail compared to more traditional text analysis models. A straightforward open-source Python and Theano library for training RNNs with a scikit-learn style interface will be introduced and we’ll see how to use it through a tutorial on a real world text dataset
Online Consumer Panel simulator - First Version demo: Sampling Operations Ana...evaristoc
Extract of a "what if...?" proposal for a tool for operations decision making in the Online Consumer Panels sector based on computational-intensive methods.
A first demo exists at github.com/evaristoc
PuppetConf 2016: Enjoying the Journey from Puppet 3.x to 4.x – Rob Nelson, AT&T Puppet
Here are the slides from Rob Nelson's PuppetConf 2016 presentation called Enjoying the Journey from Puppet 3.x to 4.x. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Magical Methods for Batch Data ProcessingSafe Software
Here’s what you need to know about applying the same processing to a large number of similar files. We’ll look at a few examples, what’s working for people, and the pros and cons of each approach.
Kostiantyn Omelianchuk, Oleksandr Skurzhanskyi "Building a state-of-the-art a...Fwdays
In this talk, we will look at the current state (post-BERT era) of GEC and share our experience of building the state-of-the-art system to perform this task. We will talk about the pros and cons of different architectures and compare inference times.
This was presented to software developers with the goal of introducing them to basic machine learning workflow, code snippets, possibilities and state-of-the-art in NLP and give some clues on where to get started.
This 28-minute video introduces the concept of the data analysis workflow.
The focus of this video is social science research that employs statistical techniques to analyse data. Many of the issues associated with the statistical data analysis workflow also pervade other forms of social science research (e.g. qualitative data analysis), despite the different nature of the data and the analytical techniques that are used.
Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they have not seen wide spread use. Why has this been the case?
In this presentation, we will first introduce RNNs as a concept. Then we will sketch how to implement them and cover the tricks necessary to make them work well. With the basics covered, we will investigate using RNNs as general text classification and regression models, examining where they succeed and where they fail compared to more traditional text analysis models. A straightforward open-source Python and Theano library for training RNNs with a scikit-learn style interface will be introduced and we’ll see how to use it through a tutorial on a real world text dataset
Online Consumer Panel simulator - First Version demo: Sampling Operations Ana...evaristoc
Extract of a "what if...?" proposal for a tool for operations decision making in the Online Consumer Panels sector based on computational-intensive methods.
A first demo exists at github.com/evaristoc
PuppetConf 2016: Enjoying the Journey from Puppet 3.x to 4.x – Rob Nelson, AT&T Puppet
Here are the slides from Rob Nelson's PuppetConf 2016 presentation called Enjoying the Journey from Puppet 3.x to 4.x. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Magical Methods for Batch Data ProcessingSafe Software
Here’s what you need to know about applying the same processing to a large number of similar files. We’ll look at a few examples, what’s working for people, and the pros and cons of each approach.
Kostiantyn Omelianchuk, Oleksandr Skurzhanskyi "Building a state-of-the-art a...Fwdays
In this talk, we will look at the current state (post-BERT era) of GEC and share our experience of building the state-of-the-art system to perform this task. We will talk about the pros and cons of different architectures and compare inference times.
This was presented to software developers with the goal of introducing them to basic machine learning workflow, code snippets, possibilities and state-of-the-art in NLP and give some clues on where to get started.
Similar to Test Context Arrangement Recipebook (20)
TDD frameworks let me dream "Project Specific Language"Kyosuke MOROHASHI
Using RSpec and Cucumber, modern TDD frameworks, let me dream "Project Specific Language". It's language for us to communicate both client and dev-team member.
original title is: プロジェクト特化言語という夢を見たんだ lang:ja
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
10. I’ll talk about.
✓What test should I write first?
✓ Write model unit test.
✓I began model test,but it’s difficult to setup data!!
✓ Use multi strategies for multi
types of data.
✓It seems good but less DRY. Is there any idea?
✓ Share your testing context.
16. aigi
byK rice
Ru l p
cia off
spe %
40
Use Cucumber
(or other end-to-end testing)
to cover controller,
views and more.
http://tatsu-zine.com/books/cuke
42. ✓ each run per test.
✓ same speed with real data persistence.
✓ edit each of them
to maintain.
43. flexibility maintain-
speed
in test ability good for
Master
fixture best wrong wrong
data
fixture Resource
wrong good best
replacements data
good
for each Event
before() good best wrong
for all
data
44. events students
Resource
courses lessons registrations
Event
rooms periods
Master
45.
46. on
ti
lu
Use multi
So
strategies for
multi types of
data.
47.
48. ✓ fixture
✓ fixture replacement
✓ block
Use them all which
suitable for the data.
49. m
le
It seems good
ob
Pr
but less DRY.
Is there any
idea?
69. I’ve talked about.
✓What test should I write first?
✓ Write model unit test.
✓I began model test,but it’s difficult to setup data!!
✓ Use multi strategies for multi
types of data.
✓It seems good but less DRY. Is there any idea?
✓ Share your testing context.
70. ✓ fixture
✓ fixture replacement
✓ block
Use them all which
suitable for the data.
71. ✓ naming each w/
✓ naming them w/
Express your intention
clearly and reduce
tiredness to add new test.