MLlib
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MLlib
By The Apache Software Foundation
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4.1 out of 5 stars
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MLlib Reviews & Product Details - Page 2

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MLlib Overview

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What is MLlib?

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.

MLlib Details
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Product Description

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.

Seller Details
Seller
The Apache Software Foundation
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,224 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
Description

Community-led development since 1999. FoundationProjectsPeopleGet InvolvedDownloadSupport ApacheHome. We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

Recent MLlib Reviews

Chetan S.
CS
Chetan S.Small-Business (50 or fewer emp.)
4.0 out of 5
"Apache Spark - MLib review"
It is useful in implementing machine learning algorithms like classification, regression and clustering. It works well while using statistical mode...
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MS
Mohini S.Small-Business (50 or fewer emp.)
4.0 out of 5
"MLlib review"
implementation of ML algorithms like regression, classification and modelling techniques can be done using the tool
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Akshay K.
AK
Akshay K.Mid-Market (51-1000 emp.)
5.0 out of 5
"Great Software!"
The interface and the workstation is to top notch. Easy to navigate and experiment with.
Read more
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14 MLlib Reviews

4.1 out of 5
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4.1 out of 5
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Overall Review Sentiment for MLlibQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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Verified User in Financial Services
GF
Enterprise(> 1000 emp.)
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Review source: Organic
What do you like best about MLlib?

The best features of the program include increasing speeds of computations and has high quality algorithms. Review collected by and hosted on G2.com.

What do you dislike about MLlib?

I dislike that we have not fully implemented the product so I am not fully informm Review collected by and hosted on G2.com.

What problems is MLlib solving and how is that benefiting you?

The best features of the program include increasing speeds of computations and has high quality algorithms. Review collected by and hosted on G2.com.

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Verified User in Wireless
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Mid-Market(51-1000 emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about MLlib?

Easy to follow if you have the basic understanding of the ML algorithms.

Clear interface to tune in parameters for the algorithm Review collected by and hosted on G2.com.

What do you dislike about MLlib?

I have not faced any issue as such with this library. Review collected by and hosted on G2.com.

What problems is MLlib solving and how is that benefiting you?

I have used this for building a recommendation system based on the Alternating Least Squares algorithm. Review collected by and hosted on G2.com.

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Scott E.
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Principal Consultant, Data Science
Computer Software
Mid-Market(51-1000 emp.)
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Review source: G2 invite
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What do you like best about MLlib?

It's FAST, and you can access the API from Python, R, SQL, Scala, or Java -- so works great for data science teams that use multiple languages. Review collected by and hosted on G2.com.

What do you dislike about MLlib?

Sometimes, a feature that is new is only available from one of the languages, but that is OK, they try and expand it to the other languages ASAP! Review collected by and hosted on G2.com.

Recommendations to others considering MLlib:

try it! you won't be sorry Review collected by and hosted on G2.com.

What problems is MLlib solving and how is that benefiting you?

Generating recommendations for an entertainment video site and apps. Review collected by and hosted on G2.com.

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Verified User in Financial Services
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Enterprise(> 1000 emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about MLlib?

MLlib now works on the new DataFrame API and thus is very easy to use. Review collected by and hosted on G2.com.

What do you dislike about MLlib?

Some of the functionality is still not reachable from PySpark Review collected by and hosted on G2.com.

What problems is MLlib solving and how is that benefiting you?

I am signaligh early signs of defauls on loan portfolios. Review collected by and hosted on G2.com.

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MLlib Categories on G2
Machine Learning
Machine Learning

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