mmlspark | Microsoft Machine Learning for Apache Spark | Machine Learning library

by Azure Scala Version: v1.0.0-rc3 License: MIT

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | mmlspark Summary

mmlspark is a Scala library typically used in Artificial Intelligence, Machine Learning, Spark applications. mmlspark has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Microsoft Machine Learning for Apache Spark

Support

Quality

Security

License

Reuse

Support

mmlspark has a medium active ecosystem.

It has 2371 star(s) with 539 fork(s). There are 122 watchers for this library.

It had no major release in the last 12 months.

There are 181 open issues and 241 have been closed. On average issues are closed in 216 days. There are 33 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mmlspark is v1.0.0-rc3

Quality

mmlspark has 0 bugs and 0 code smells.

Security

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

mmlspark code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mmlspark is licensed under the MIT License. This license is Permissive.

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

Reuse

mmlspark releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 36674 lines of code, 3320 functions and 430 files.

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

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mmlspark Key Features

No Key Features are available at this moment for mmlspark.

mmlspark Examples and Code Snippets

No Code Snippets are available at this moment for mmlspark.

Community Discussions

Trending Discussions on mmlspark

Can't show a pyspark dataframe, even it is small ('.show()' problem)

Problem downloading MMLSpark library as a Maven dependency

how do I install parckage(such as mmlspark) to CDH cluster without network access?

PySpark ALSModel load fails in deployment over Azure ML service with error java.util.NoSuchElementException: Param blockSize does not exist

PySpark: Spark Dataframe - Convert ImageSchema Column to a nDArray as a new column

QUESTION

Can't show a pyspark dataframe, even it is small ('.show()' problem)

Asked 2021-Nov-05 at 06:57

data , Here's the output - DataFrame[features: vector, label: int]

How I got The 'data'

...

ANSWER

Answered 2021-Nov-05 at 06:57

Here is the documentation for VectorAssembler. https://spark.apache.org/docs/3.1.1/api/python/reference/api/pyspark.ml.feature.VectorAssembler.html

Your stack trace mentions, "Encountered null while assembling a row with handleInvalid = "keep". Consider removing nulls from dataset or using handleInvalid = "keep" or "skip"."

So try setting up the VectorAssembler constructor with handleInvalid="keep" or handleInvalid="skip"

Source https://stackoverflow.com/questions/69792429

QUESTION

Problem downloading MMLSpark library as a Maven dependency

Asked 2021-Sep-09 at 15:39

I am completely new to working with maven. I´m trying to download a jar file from microsofts MMLSPARK library using the command of the screenshot:

I´m getting this error ... No clue what's the problem.

...

ANSWER

Answered 2021-Sep-09 at 15:39

Unless you have a weird configuration of maven, the command of the screenshot works! I just executed it. The result is getting a jar, called mmlspark_2.11-1.0.0-rc1.jar in the current working directory.

Also, make sure that you put this exactly:

Source https://stackoverflow.com/questions/69111688

QUESTION

how do I install parckage(such as mmlspark) to CDH cluster without network access?

Asked 2020-Nov-16 at 17:24

Because it is hard to connect maven.org in China , I can't not install mmlspark by

...

ANSWER

Answered 2020-Aug-11 at 10:18

Finally I got it around. The key is pass .jar to pyFiles, this is very surprise me that python can read .jar .

bash:

Source https://stackoverflow.com/questions/63146931

QUESTION

PySpark ALSModel load fails in deployment over Azure ML service with error java.util.NoSuchElementException: Param blockSize does not exist

Asked 2020-Aug-03 at 18:16

I am trying to deploy an ALS model trained using PySpark on Azure ML service. I am providing a score.py file that loads the trained model using ALSModel.load() function. Following is the code of my score.py file.

...

ANSWER

Answered 2020-Aug-03 at 18:16

A couple of things to check:

Is your model registered in the workspace? AZUREML_MODEL_DIR only works for registered models. See this link for information about registering a model
Are you specifying the same version of pyspark.ml.recommendation in your InferenceConfig as you use locally? This kind of error might be due to a difference in versions
Have you looked at the output of print(service.get_logs())? Check out our troubleshoot and debugging documentation here for other things you can try

Source https://stackoverflow.com/questions/63204081

QUESTION

PySpark: Spark Dataframe - Convert ImageSchema Column to a nDArray as a new column

Asked 2020-Apr-24 at 18:33

I am reading images(*.jpg) in a folder as to a spark dataframe using the ImageSchema.

...

ANSWER

Answered 2020-Apr-24 at 18:33

Figured this out myself, below solution could help someone.

Source https://stackoverflow.com/questions/60568744

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

Vulnerabilities

No vulnerabilities reported

Install mmlspark

MMLSpark can be used to train deep learning models on GPU nodes from a Spark application. See the instructions for setting up an Azure GPU VM.

Support

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments. See CONTRIBUTING.md for contribution guidelines. To give feedback and/or report an issue, open a GitHub Issue.

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