Spark MLLIB forecasting
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I am new to spark mllib and I am trying to forecast delivered impressions for one of our campaigns using past data from similar campaigns. For example here is training dataset that I have from past campaigns:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impressions
X 1 4 7 1000
Y 2 5 9 2000
Z 3 6 0 3000
I am trying use this training dataset to forecast delivered impressions for following campaign:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impression
A 10 11 12 ?
I have played around with Randforest and logit regresssion in MLlib trying to forecast it but would really appreciate any suggestions on how to go around solving this problem.
Thank You
apache-spark-mllib data-science forecasting
asked Nov 10 at 18:57
ravsd
62
add a comment |
up vote
0
down vote
favorite
I am new to spark mllib and I am trying to forecast delivered impressions for one of our campaigns using past data from similar campaigns. For example here is training dataset that I have from past campaigns:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impressions
X 1 4 7 1000
Y 2 5 9 2000
Z 3 6 0 3000
I am trying use this training dataset to forecast delivered impressions for following campaign:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impression
A 10 11 12 ?
I have played around with Randforest and logit regresssion in MLlib trying to forecast it but would really appreciate any suggestions on how to go around solving this problem.
Thank You
apache-spark-mllib data-science forecasting
asked Nov 10 at 18:57
ravsd
62
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I am new to spark mllib and I am trying to forecast delivered impressions for one of our campaigns using past data from similar campaigns. For example here is training dataset that I have from past campaigns:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impressions
X 1 4 7 1000
Y 2 5 9 2000
Z 3 6 0 3000
I am trying use this training dataset to forecast delivered impressions for following campaign:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impression
A 10 11 12 ?
I have played around with Randforest and logit regresssion in MLlib trying to forecast it but would really appreciate any suggestions on how to go around solving this problem.
Thank You
apache-spark-mllib data-science forecasting
asked Nov 10 at 18:57
ravsd
62
I am new to spark mllib and I am trying to forecast delivered impressions for one of our campaigns using past data from similar campaigns. For example here is training dataset that I have from past campaigns:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impressions
X 1 4 7 1000
Y 2 5 9 2000
Z 3 6 0 3000
I am trying use this training dataset to forecast delivered impressions for following campaign:
Campaign Feature 1 Feature 2 Feature 3 Delivered Impression
A 10 11 12 ?
I have played around with Randforest and logit regresssion in MLlib trying to forecast it but would really appreciate any suggestions on how to go around solving this problem.
Thank You
apache-spark-mllib data-science forecasting
apache-spark-mllib data-science forecasting
asked Nov 10 at 18:57
ravsd
62
asked Nov 10 at 18:57
ravsd
62
asked Nov 10 at 18:57
ravsd
62
asked Nov 10 at 18:57
ravsd
62
asked Nov 10 at 18:57
ravsd
62
62
add a comment |
add a comment |
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