Hi All
Find the different steps in Machine Learning
---------------------------------
Train data
you are great,positive
its bad,negative
ok fine,neutral
-----------------------------------------------
Step1: Create Vocabulary
create a vocabulary=you are great its bad ok fine
--------------------------------------------------
Step 2; Training
1. create feature set
you:true are:true great:true its:false bad:false ok:false fine:false,positive
you:false are:false great:false its:true bad:true ok:false fine:false,negative
2. using feature set train the classifier(Naive bayes)
------------------------------------------------
Step3 :Testing
1. read the test data from console/csv/cloud/google drive
it was fine
2. create featureset of test data
you:false are:false great:false its:false bad:false ok:false fine:true
Testing
Find the different steps in Machine Learning
---------------------------------
Train data
you are great,positive
its bad,negative
ok fine,neutral
-----------------------------------------------
Step1: Create Vocabulary
create a vocabulary=you are great its bad ok fine
--------------------------------------------------
Step 2; Training
1. create feature set
you:true are:true great:true its:false bad:false ok:false fine:false,positive
you:false are:false great:false its:true bad:true ok:false fine:false,negative
2. using feature set train the classifier(Naive bayes)
------------------------------------------------
Step3 :Testing
1. read the test data from console/csv/cloud/google drive
it was fine
2. create featureset of test data
you:false are:false great:false its:false bad:false ok:false fine:true
Testing
No comments:
Post a Comment