[SPARK-10348] [MLLIB] updates ml-guide #8517
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remove links to Scala API doc in the main guide change ML algorithms to pipeline components
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Test build #41780 has finished for PR 8517 at commit
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| Machine learning can be applied to a wide variety of data types, such as vectors, text, images, and structured data. | ||
| Spark ML adopts the [`DataFrame`](api/scala/index.html#org.apache.spark.sql.DataFrame) from Spark SQL in order to support a variety of data types under a unified Dataset concept. | ||
| Spark ML adopts the `DataFrame` from Spark SQL in order to support a variety of data types. |
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I thought about this but didn't figure out a good solution. Using spark.ml everywhere is accurate but it makes the guide a little bit strange to read. Another solution is to define Spark ML precisely somewhere in the doc. Let me think about this and make a new PR if necessary.
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LGTM, made one minor comment |
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* replace `ML Dataset` by `DataFrame` to unify the abstraction * ML algorithms -> pipeline components to describe the main concept * remove Scala API doc links from the main guide * `Section Title` -> `Section tile` to be consistent with other section titles in MLlib guide * modified lines break at 100 chars or periods jkbradley feynmanliang Author: Xiangrui Meng <meng@databricks.com> Closes #8517 from mengxr/SPARK-10348. (cherry picked from commit 905fbe4) Signed-off-by: Xiangrui Meng <meng@databricks.com>
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Merged into master and branch-1.5. |
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ML DatasetbyDataFrameto unify the abstractionSection Title->Section tileto be consistent with other section titles in MLlib guide@jkbradley @feynmanliang