mleap | MLeap: Deploy ML Pipelines to Production

by combust Scala Version: 0.23.1 License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | mleap Summary

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

Deploying machine learning data pipelines and algorithms should not be a time-consuming or difficult task. MLeap allows data scientists and engineers to deploy machine learning pipelines from Spark and Scikit-learn to a portable format and execution engine.

Support

Quality

Security

License

Reuse

Support

mleap has a medium active ecosystem.

It has 1449 star(s) with 311 fork(s). There are 71 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 93 open issues and 364 have been closed. On average issues are closed in 192 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mleap is 0.23.1

Quality

mleap has 0 bugs and 0 code smells.

Security

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

mleap code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mleap 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

mleap releases are available to install and integrate.

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

It has 34355 lines of code, 2952 functions and 779 files.

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

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mleap Key Features

No Key Features are available at this moment for mleap.

mleap Examples and Code Snippets

MLeap broken with Skicit-learn when serialising: object has no attribute 'input_features'

Python

Lines of Code : 16

License : Strong Copyleft (CC BY-SA 4.0)

Copy

clf.mlinit(input_features="features", prediction_column="prediction")

from mleap.sklearn.logistic import LogisticRegression
from sklearn.datasets import load_iris
from mleap.sklearn.pipeline import Pipeline

X, y

Community Discussions

Trending Discussions on mleap

Amazon EMR pip install in bootstrap actions runs OK but has no effect

I don't succeed to save (serialize) a zip file with Scikit-Learn with MLeap in Python

How to use MLeap DenseTensor in Java

MLeap broken with Skicit-learn when serialising: object has no attribute 'input_features'

What could cause an error in sparklyr and mleap ml_write_bundle example?

QUESTION

Amazon EMR pip install in bootstrap actions runs OK but has no effect

Asked 2020-Dec-07 at 12:49

In Amazon EMR, I am using the following script as a custom bootstrap action to install python packages. The script runs OK (checked the logs, packages installed successfully) but when I open a notebook in Jupyter Lab, I cannot import any of them. If I open a terminal in JupyterLab and run pip list or pip3 list, none of my packages is there. Even if I go to / and run find . -name mleap for instance, it does not exist.

Something I have noticed is that on the master node, I am getting all the time an error saying bootstrap action 2 has failed (there is no second action, only one). According to this, it is a rare error which I get in all my clusters. However, my cluster eventually gets created and I can use it.

My script is called aws-emr-bootstrap-actions.sh

...

ANSWER

Answered 2020-Dec-07 at 12:49

The PYSPARK, Python interpreter that Spark is using, is different than the one to which the OP was installing the modules (as confirmed in comments).

Source https://stackoverflow.com/questions/65174150

QUESTION

I don't succeed to save (serialize) a zip file with Scikit-Learn with MLeap in Python

Asked 2020-Jun-29 at 09:56

I tried that:

...

ANSWER

Answered 2020-Jun-29 at 09:56

I found the problem and a workaround.

It is not possible anymore to do random writes with Databricks as explained here: https://docs.databricks.com/data/databricks-file-system.html?_ga=2.197884399.1151871582.1592826411-509486897.1589442523#local-file-apis

A workaround is to write the zip file in the local filesystem and then copy it into DBFS. So:

Serialize your model in a Pipeline using "init=True" saving it in a local dir
Copy it to your datalake by using "dbutils.fs.cp(source, destination)"

dbutils.fs.cp(source, destination)

Source https://stackoverflow.com/questions/62170224

QUESTION

How to use MLeap DenseTensor in Java

Asked 2020-Jun-06 at 15:37

I am using MLeap to run a Pyspark logistic regression model in a java program. Once I run the pipeline I am able to get a DefaultLeapFrame object with one row Stream(Row(1.3,12,3.6,DenseTensor([D@538613b3,List(2)),1.0), ?).

But I am not sure how to actually inspect the DenseTensor object. When I use getTensor(3) on this row I get an object. I am not familiar with Scala but that seems to be how this is meant to be interacted with. In Java how can I get the values within this DenseVector?

Here is roughly what I am doing. I'm guessing using Object is not right for the type. . .

...

ANSWER

Answered 2020-Jun-06 at 15:37

So the MLeap documentation for the Java DSL is not so good but I was able to look over some unit tests (link) that pointed me to the right thing to use. In case anyone else is interested, this is what I did.

Source https://stackoverflow.com/questions/62221729

QUESTION

MLeap broken with Skicit-learn when serialising: object has no attribute 'input_features'

Asked 2020-May-27 at 09:53

I'm facing an issue with MLeap 0.16 and Python 3 when I try serialising a model. Here is my code:

...

ANSWER

Answered 2020-May-27 at 09:53

I found the solution.

Source https://stackoverflow.com/questions/62002060

QUESTION

What could cause an error in sparklyr and mleap ml_write_bundle example?

Asked 2020-May-19 at 17:36

I'm trying to follow RStudio-MLeap example (https://github.com/rstudio/mleap) but I get an error at `ml_write_bundle()'. Does anyone know how to troubleshoot?

...

ANSWER

Answered 2020-May-19 at 17:36

It looks like I just needed to restart R. I had other issues with loading the mleap library for another version of the spark (3.0.0-review2), and I mixed it up.

Source https://stackoverflow.com/questions/61894006

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

Vulnerabilities

No vulnerabilities reported

Install mleap

You can download it from GitHub.

Support

Documentation is available at https://combust.github.io/mleap-docs/. Read Serializing a Spark ML Pipeline and Scoring with MLeap to gain a full sense of what is possible.

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