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Register a new userLecture1(V1): introduction to R (programming language) - Dr. Eng Fadi CHAABAN
محاضرة1(V1) : مقدمة الى لغة البرمجة الاحصائية R - د. م. فادي شعبان
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Added by
Tishreen University محاضرة
Publication date
2020
fields
Economy
and research's language is
العربية
Created by
Fadi CHAABAN
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سلسلة محاضرات في لغة البرمجة الإحصائية R مقدمة عن لغة R - الأوامر الخاصة في لغة البرمجة Rstudio & R و تطبيقات عملية
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R-Studio
الاوامر الخاصة في لغة البرمجة R
ايعازات عامة
الكائنات Objects –
الأشعة Vectors
المصفوفات Matrices
plot من أكثر توابع الرسم استخداماً في R وهو تابع عام Generic Function، أي أنه
يمتلك العديد من الطرائق حتى يلائم الكائنات الممررة له.
integrate Lists Data Frames
integrate Lists Data Frames
integrate Lists Data Frames
integrate Lists Data Frames
In this paper we present a deep learning code completion model for the R language. We introduce several techniques to utilize language modeling based architecture in the code completion task. With these techniques, the model requires low resources, b
ut still achieves high quality. We also present an evaluation dataset for the R language completion task. Our dataset contains multiple autocompletion usage contexts that provides robust validation results. The dataset is publicly available.
Commit message is a document that summarizes source code changes in natural language. A good commit message clearly shows the source code changes, so this enhances collaboration between developers. Therefore, our work is to develop a model that autom
atically writes the commit message. To this end, we release 345K datasets consisting of code modification and commit messages in six programming languages (Python, PHP, Go, Java, JavaScript, and Ruby). Similar to the neural machine translation (NMT) model, using our dataset, we feed the code modification to the encoder input and the commit message to the decoder input and measure the result of the generated commit message with BLEU-4. Also, we propose the following two training methods to improve the result of generating the commit message: (1) A method of preprocessing the input to feed the code modification to the encoder input. (2) A method that uses an initial weight suitable for the code domain to reduce the gap in contextual representation between programming language (PL) and natural language (NL).
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