Keywords (Legacy)
/
โฃ Target dataset
Search
Share
ใฐ๏ธ
โฃ MLOps
Target dataset
ํ๊ธ
ํ๊ฒ ๋ฐ์ดํฐ์
์ถ์ฒ
terminology
์๊ฐ/์ง๋ฌธ
+0/0 (terminology) - โฃ Target dataset
์๊ตฌ๋ ธํธ ์๊ฐ์ ์
ํ๋ก์ ํธ๋ ธํธ ์๊ฐ์ ์
๊ด๋ จ ์ง๋ฌธ์ ์
terminology
์ถ์์ ์ธ(์ ๋ฌธ์ ์ธ) ์ฉ์ด์.
ํค์๋๊ฐ ๊ฐ๊น์ด ์์ผ ๋ด ๊ฒ์๋ ๊ฒ ๊ฐ์ง ์์.
์์๋๊ณ ์ถ์ ๋จ์ด์ด์ง๋ง ์๊ตฌ๋ ธํธ ์์ฑ์ ๊ณผ๋ถํจ.
์ ์
โข
Target dataset - usually model input data - is compared over time to your baseline dataset. This comparison means that your target dataset must have a timestamp column specified.
์ด ๋จ์ด๋ฅผ ๋ฐ๊ฒฌํ ๊ณณ
1.
You monitorย Azure machine learning datasetsย for data drift. When you create a dataset monitor, you will reference your: Baseline dataset - usually the training dataset for a model. Target dataset - usually model input data - is compared over time to your baseline dataset. This comparison means that your target dataset must have a timestamp column specified.