# linkedin/spark-tfrecord

<https://repo.masters-masters.com/en/repos/linkedin/spark-tfrecord>

[Home](https://repo.masters-masters.com/en) › [linkedin](https://repo.masters-masters.com/en/owners/linkedin) › [spark-tfrecord](https://repo.masters-masters.com/en/repos/linkedin/spark-tfrecord)

linkedin/spark-tfrecord has 300 stars on GitHub. Its RepoMasters card: Alpha tier. Read and write Tensorflow TFRecord data from Apache Spark. Language: Scala.

| Field | Value |
| --- | --- |
| Owner | [linkedin](https://repo.masters-masters.com/en/owners/linkedin) |
| Stars | 300 |
| Forks | 57 |
| Language | [Scala](https://repo.masters-masters.com/en/languages/scala) |
| License | BSD-2-Clause |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [linkedin/spark-tfrecord](https://github.com/linkedin/spark-tfrecord) |

## Repository

Read and write Tensorflow TFRecord data from Apache Spark.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.