linkedin / linkedin/spark-tfrecord
Do we support spark dataframe straightly convert to tensorflow-java Tensor like TFloat32 TFloat64 or Operand[T <: TNumber]
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- Dominant language
- Scala
- Stars
- 300
- Forks
- 57
- PR merge metrics
- No merged PRs in 30d
Description
HI:
spark-tfrecord is great project ,but now I only know how to use spark read or write tfrecord file with dataframe ,In pregress We also need dataframe straightly convert to tensorflow-java Tensor like TFloat32 TFloat64 or Operand[T <: TNumber] generate tensor data for tensorflow model input train data like spark org.apache.spark.ml.linalg.Vector .
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Research direction
No files, tests, or entry points are named. First clarify the expected Spark DataFrame schema and the TensorFlow-Java Tensor or Operand types to support, then identify the project entry point for DataFrame conversion. Done should include an agreed conversion API and coverage for the requested numeric types.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scala, spark, tensorflow
- Domain
- data-engineering, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100