sparkly | Stream mining | Machine Learning library

by pmerienne Scala Version: 0.9 License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | sparkly Summary

sparkly is a Scala library typically used in Artificial Intelligence, Machine Learning applications. sparkly has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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Support

sparkly has a low active ecosystem.

It has 9 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 31 open issues and 75 have been closed. On average issues are closed in 65 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sparkly is 0.9

Quality

sparkly has no bugs reported.

Security

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

License

sparkly does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

sparkly releases are available to install and integrate.

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sparkly Key Features

No Key Features are available at this moment for sparkly.

sparkly Examples and Code Snippets

No Code Snippets are available at this moment for sparkly.

Community Discussions

Trending Discussions on sparkly

Pass multiple column names in function to dplyr::distinct() with Spark

Start H2O context on Databricks with rsparkling

Error in installing spark with sparklyr package

Alternative for ``stringr::str_detect`` when working in Spark

How do I get the word-embedding matrix from ft_word2vec (sparklyr-package)?

Connecting to BigQuery from Rstudio running on a Dataproc cluster

Failed to find 'spark-submit2.cmd'

How to extract the first n rows per group from a Spark data frame using recent versions of dplyr (1.0), sparklyr (1.4) and SPARK (3.0) / Hadoop (2.7)?

Aggregating the standard deviation and counting non-NAs in sparklyr

Calculating cumulative sum in sparklyr

QUESTION

Pass multiple column names in function to dplyr::distinct() with Spark

Asked 2021-May-28 at 22:26

I want to specify an unknown number of column names in a function that will use dplyr::distinct(). My current attempt is:

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ANSWER

Answered 2021-May-28 at 22:26

Distinct applies to all columns of a table at once. Consider an example table:

Source https://stackoverflow.com/questions/67727037

QUESTION

Start H2O context on Databricks with rsparkling

Asked 2021-Apr-22 at 20:27

Problem

I want to use H2O's Sparkling Water on multi-node clusters in Azure Databricks, interactively and in jobs through RStudio and R notebooks, respectively. I can start an H2O cluster and a Sparkling Water context on a rocker/verse:4.0.3 and a databricksruntime/rbase:latest (as well as databricksruntime/standard) Docker container on my local machine but currently not on a Databricks cluster. There seems to be a classic classpath problem.

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ANSWER

Answered 2021-Apr-22 at 20:27

In my case, I needed to install a "Library" to my Databricks workspace, cluster, or job. I could either upload it or just have Databricks fetch it from Maven coordinates.

In Databricks Workspace:

click Home icon
click "Shared" > "Create" > "Library"
click "Maven" (as "Library Source")
click "Search packages" link next to "Coordinates" box
click dropdown box and choose "Maven Central"
enter ai.h2o.sparkling-water-package into the "Query" box
choose recent "Artifact Id" with "Release" that matches your rsparkling version, for me ai.h2o:sparkling-water-package_2.12:3.32.0.5-1-3.0
click "Select" under "Options"
click "Create" to create the Library
- thankfully, this required no changes to my Databricks R Notebook when run as a Databricks job

Source https://stackoverflow.com/questions/67201421

QUESTION

Error in installing spark with sparklyr package

Asked 2021-Feb-11 at 18:12

I am trying to install sparklyr on a Mac system (macOS Catalina); while running spark_install(), it starts downloading the packages, then it fails. Please see the following code to reproduce.

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ANSWER

Answered 2021-Feb-11 at 18:12

I posted the question on sparklyr GitHub page, too. Yitao Li provided the following answer:

https://github.com/sparklyr/sparklyr/issues/2936

I repeat the answer here, it may help some others.

Run options(timeout=300) then reinstall the package.

Source https://stackoverflow.com/questions/66160089

QUESTION

Alternative for ``stringr::str_detect`` when working in Spark

Asked 2021-Feb-02 at 11:37

I've worked in RStudio on a local device for a couple of years and I recently started working with Spark (version 3.0.1). I ran into an unexpected problem when I tried to run stringr::str_detect() in Spark. Apparently str_detect() does not have an equivalent in SQL. I am looking for an alternative, preferably in R.

Here is an example of my expected result when running str_detect() locally vs. in Spark.

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ANSWER

Answered 2021-Feb-02 at 11:37

str_detect() is equivalent to Spark's rlike function. I don't use spark with R but something like this should work:

Source https://stackoverflow.com/questions/66008324

QUESTION

How do I get the word-embedding matrix from ft_word2vec (sparklyr-package)?

Asked 2020-Dec-10 at 07:34

I have another question in the word2vec universe. I am using the 'sparklyr'-package. Within this package I call the ft_word2vec() function. I have some trouble understanding the output: For each number of sentences/paragraphs I am providing to the ft_word2vec() function, I always get the same amount of vectors. Even, if I have more sentences/paragraphs than words. For me, that looks like I get the paragraph-vectors. Maybe a Code-example helps to understand my problem?

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ANSWER

Answered 2020-Dec-10 at 07:34

my colleague found a solution! If you know how to do it, the instructions really begin to make sense!

Source https://stackoverflow.com/questions/65040039

QUESTION

Connecting to BigQuery from Rstudio running on a Dataproc cluster

Asked 2020-Nov-30 at 18:42

I created a Dataproc cluster and launched RStudio Server successfully using the instructions below: https://cloud.google.com/solutions/running-rstudio-server-on-a-cloud-dataproc-cluster

I also installed sparklyr and created a Spark instance successfully.

...

ANSWER

Answered 2020-Nov-30 at 18:42

You can use Dataproc init actions to install spark-bigquery connector on all the nodes of your cluster. https://github.com/GoogleCloudDataproc/initialization-actions/tree/master/connectors.

You may have to recreate the cluster with updated init actions and launch RStudio Server again. If you don't wish to do that and your cluster is small, you could also ssh into the nodes and download SparkBigQuery-connector jar manually.

Source https://stackoverflow.com/questions/65041696

QUESTION

Failed to find 'spark-submit2.cmd'

Asked 2020-Nov-06 at 21:13

> library('BBmisc')
> library('sparklyr')
> sc <- spark_connect(master = 'local')
Error in start_shell(master = master, spark_home = spark_home, spark_version = version,  : 
  Failed to find 'spark-submit2.cmd' under 'C:\Users\Owner\AppData\Local\spark\spark-3.0.0-bin-hadoop2.7', please verify - SPARK_HOME.
> spark_home_dir()
[1] "C:\\Users\\Owner\\AppData\\Local/spark/spark-3.0.0-bin-hadoop2.7"
> spark_installed_versions()
  spark hadoop                                                              dir
1 3.0.0    2.7 C:\\Users\\Owner\\AppData\\Local/spark/spark-3.0.0-bin-hadoop2.7
> spark_home_set()
Setting SPARK_HOME environment variable to C:\Users\Owner\AppData\Local/spark/spark-3.0.0-bin-hadoop2.7
> sc <- spark_connect(master = 'local')
Error in start_shell(master = master, spark_home = spark_home, spark_version = version,  : 
  Failed to find 'spark-submit2.cmd' under 'C:\Users\Owner\AppData\Local\spark\spark-3.0.0-bin-hadoop2.7', please verify - SPARK_HOME.

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ANSWER

Answered 2020-Nov-06 at 21:13

Solved !!!

Step :

https://spark.apache.org/downloads.html
extract zipped file to 'C:/Users/scibr/AppData/Local/spark/spark-3.0.1-bin-hadoop3.2'.
manually choose latest version : spark_home_set('C:/Users/scibr/AppData/Local/spark/spark-3.0.1-bin-hadoop3.2')

GitHub source : https://github.com/englianhu/binary.com-interview-question/issues/1#event-3968919946

Source https://stackoverflow.com/questions/64632416

QUESTION

How to extract the first n rows per group from a Spark data frame using recent versions of dplyr (1.0), sparklyr (1.4) and SPARK (3.0) / Hadoop (2.7)?

Asked 2020-Oct-28 at 09:07

My attempts with top_n() and scale_head() both failed with errors.

An issue with top_n() was reported in https://github.com/tidyverse/dplyr/issues/4467 and closed by Hadley with the comment:

This will be resolved by #4687 + tidyverse/dbplyr#394 through the introduction of new slice_min() and slice_max() functions, which also allow us to resolve some interface issues with top_n().

Despite having updated all my packages, calling top_n() fails with:

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ANSWER

Answered 2020-Oct-28 at 09:04

Use filter and row_number. Note that you need to specify arrange first for row_number to work in sparklyr.

Source https://stackoverflow.com/questions/64569388

QUESTION

Aggregating the standard deviation and counting non-NAs in sparklyr

Asked 2020-Oct-20 at 13:28

I have a large data.frame and I have been aggregating the summary statistics for numerous variables using the summarise in conjunction with across . Due to the size of my data.frame I have had to start processing my data in sparklyr.

As sparklyr does not support across I am using the summarise_each. This is working OK, except that summarise_each in sparklyr does not appear to support sd and sum(!is.na(.))

Below is an example dataset and how I would process it usually, using dplyr:

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ANSWER

Answered 2020-Oct-20 at 13:28

The problem is the na.rm parameter. Spark's stddev_samp function has no such parameter and sparklyr doesn't seem to handle it.

Missing values are always removed in SQL so you don't need to specify na.rm.

Source https://stackoverflow.com/questions/64443511

QUESTION

Calculating cumulative sum in sparklyr

Asked 2020-Oct-15 at 21:00

How do I calculate cumulative sums in sparklyr?

dplyr:

...

ANSWER

Answered 2020-Oct-09 at 15:05

You can write SQL in sparklyr if you know the correct syntax, in this case the raw SQL (assuming your index is Sepal_Length) is:

Source https://stackoverflow.com/questions/64256060

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Install sparkly

You can download it from GitHub.

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