tensorframes | Tensorflow wrapper for DataFrames on Apache Spark

by databricks Scala Version: 0.2.9 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | tensorframes Summary

tensorframes is a Scala library typically used in Big Data, Spark applications. tensorframes has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Note: TensorFrames is deprecated. You can use pandas UDF instead. Experimental TensorFlow binding for Scala and Apache Spark. TensorFrames (TensorFlow on Spark DataFrames) lets you manipulate Apache Spark's DataFrames with TensorFlow programs. This package is experimental and is provided as a technical preview only. While the interfaces are all implemented and working, there are still some areas of low performance. This package only officially supports linux 64bit platforms as a target. Contributions are welcome for other platforms. See the file project/Dependencies.scala for adding your own platform. Officially TensorFrames supports Spark 2.4+ and Scala 2.11. See the user guide for extensive information about the API. For questions, see the TensorFrames mailing list. TensorFrames is available as a Spark package.

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Quality

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Support

tensorframes has a medium active ecosystem.

It has 761 star(s) with 165 fork(s). There are 72 watchers for this library.

It had no major release in the last 12 months.

There are 49 open issues and 43 have been closed. On average issues are closed in 129 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tensorframes is 0.2.9

Quality

tensorframes has 0 bugs and 0 code smells.

Security

tensorframes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorframes code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorframes is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tensorframes releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

It has 4989 lines of code, 423 functions and 57 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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tensorframes Key Features

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tensorframes Examples and Code Snippets

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Community Discussions

Trending Discussions on tensorframes

"Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary."

ValueError: as_list() is not defined on an unknown TensorShape

TensorFrames not working with Tensorflow on Data Science Experience

How do I implement the TensorFrames Spark package on Data Science Experience?

QUESTION

"Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary."

Asked 2019-Jul-23 at 13:44

I am following the databricks tutorial on their community edition:

https://docs.databricks.com/applications/deep-learning/deep-learning-pipelines.html#install-deep-learning-pipelines

attached libraries:

spark-deep-learning, tensorflow, keras, h5py, tensorframes

when running this cell:

...

ANSWER

Answered 2018-Feb-19 at 18:37

I got it working with tensorflow 1.4.0.

Source https://stackoverflow.com/questions/48723686

QUESTION

ValueError: as_list() is not defined on an unknown TensorShape

Asked 2018-Jul-13 at 17:33

i work on thhe example based in this web and here is i got after this

...

ANSWER

Answered 2018-Jul-13 at 17:33

Use the following to read images and create your training & testing sets

Source https://stackoverflow.com/questions/50752787

QUESTION

TensorFrames not working with Tensorflow on Data Science Experience

Asked 2017-May-23 at 17:43

This is a follow up from this question. I've imported the following jars into my notebook:

pixiedust.installPackage("http://central.maven.org/maven2/com/typesafe/scala-logging/scala-logging-slf4j_2.10/2.1.2/scala-logging-slf4j_2.10-2.1.2.jar") pixiedust.installPackage("http://central.maven.org/maven2/com/typesafe/scala-logging/scala-logging-api_2.10/2.1.2/scala-logging-api_2.10-2.1.2.jar")

But when I do an extremely basic command using tensorframes, I get the following error:

...

ANSWER

Answered 2017-May-23 at 17:43

I found a jar that will get passed the above code, but I can't do any computations using TensorFrames. I suppose I can ask another follow up question:

Source https://stackoverflow.com/questions/44140581

QUESTION

How do I implement the TensorFrames Spark package on Data Science Experience?

Asked 2017-May-23 at 16:35

I've been able to import the package:

...

ANSWER

Answered 2017-May-23 at 16:35

Charles from IBM support helped me find which jars to include:

This technically solves the first error, however TesnsorFrames still aren't working. I'll post another question that is more specific.

Source https://stackoverflow.com/questions/44120979

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tensorframes

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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