Using Apache Spark for my big data class Question6: org.apache.spark.ml.feature.

Question

Using Apache Spark for my big data class

Question6: org.apache.spark.ml.feature.VectorAssembler class is imported to

Question 6 options:

convert the data frames into a vector

convert the data frames int RDD

convert multiple features into a vector

assemble the output into a vector

Question 7:To build a supervised learning model we divide data into three sets. Majority of the data is used for

Question 7 options:

Training

Testing

Cross validation

Data munging

Consider the one-hot encoding for weather that could be cloudy,rainy,snowy,clear. What will be the encoding for snowy weather?

convert the data frames into a vector

convert the data frames int RDD

convert multiple features into a vector

assemble the output into a vector

Question 7:To build a supervised learning model we divide data into three sets. Majority of the data is used for

Question 7 options:

Training

Testing

Cross validation

Data munging

Consider the one-hot encoding for weather that could be cloudy,rainy,snowy,clear. What will be the encoding for snowy weather?

Explanation / Answer

org.apache.spark.ml.feature.VectorAssembler class is imported mainly used to assemble the output into a vector
Ans: assemble the output into a vector

Question 7:To build a supervised learning model we divide data into three sets. Majority of the data is used for
Ans:Training.

Data is devided into three subsets.They are:training,validation,testing. Among these three more data is used for trainin. Testing and validation tekes less data.

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