How many algorithms mahout supports for clustering?
2
Well Done. Your Answer is Correct Keep it Up! Explanation: Mahout supports two main algorithms for clustering namely: Canopy clustering and K-means clustering
1
3
4
Tag: Hadoop Mahout
How many classification does Naive Bayes Classifier have?
How many classification does Naive Bayes Classifier have?
2
Well Done. Your Answer is Correct Keep it Up! Explanation: Mahout uses the Naive Bayes classifier algorithm. It uses two implementations: Distributed Naive Bayes classification and Complementary Naive Bayes classification
3
4
5
____________ generates NGrams and counts frequencies for ngrams, head and tail subgrams.
____________ generates NGrams and counts frequencies for ngrams, head and tail subgrams.
CollocDriver
Well Done. Your Answer is Correct Keep it Up! Explanation: Each call to the mapper passes in the full set of tokens for the corresponding document using a StringTuple.
CollocationDriver
CarDriver
All Options are Correct
Point out the wrong statement.
Point out the wrong statement.
None of the Option is Correct
Well Done. Your Answer is Correct Keep it Up! Explanation: There are a couple ways to run the llr-based collocation algorithm in mahout.
Taste’ collaborative-filtering recommender component of Mahout was originally a separate project and can run standalone without Hadoop
Integration of Mahout with initiatives such as the Pregel-like Giraph are actively under discussion
Calculating the LLR is very straightforward
Mahout provides an implementation of a ______________ identification algorithm which scores collocations using log-likelihood ratio.
Mahout provides an implementation of a ______________ identification algorithm which scores collocations using log-likelihood ratio.
collocation
Well Done. Your Answer is Correct Keep it Up! Explanation: The log-likelihood score indicates the relative usefulness of a collocation with regards other term combinations in the text.
compaction
collection
None of the Option is Correct
Which of the following is not a features of Mahout?
Which of the following is not a features of Mahout?
All Options are Correct
Well Done. Your Answer is Correct Keep it Up!
Mahout lets applications to analyze large sets of data effectively and in quick time.
Mahout includes matrix and vector libraries.
Mahout comes with distributed fitness function capabilities for evolutionary programming.
Mahout provides ____________ libraries for common and primitive Java collections.
Mahout provides ____________ libraries for common and primitive Java collections.
java
Well Done. Your Answer is Correct Keep it Up! Explanation: Maths operations are focused on linear algebra and statistics.
perl
python
C
In which year Apache Mahout started?
In which year Apache Mahout started?
2008
Well Done. Your Answer is Correct Keep it Up! Explanation: Apache Mahout started as a sub-project of Apache’s Lucene in 2008.
2007
2009
2010
Which of the following is true about mahout?
Which of the following is true about mahout?
All Options are Correct
Well Done. Your Answer is Correct Keep it Up!
A mahout is one who drives an elephant as its master.
Apache Mahout is an open source project that is primarily used for creating scalable machine learning algorithms
Mahout lets applications to analyze large sets of data effectively and in quick time.