Week 3
The plan for this week was to develop a gradient boosting for classification.
Day 1:
- I developed a test rig to test out gradient boosting for linear regression. Got a lot of pointers from Vivek Nair's code on a generic test suite for classification.
Day 2:
- Rather simple day. I set up the basic skeleton and stubs for classification in gradient boosting.
- I also had a call with Satya who gave me access to large legal data to run my text mining experiments on
Day 3:
- I ended up with a strange bug. In ecl, the variable cannot have the same name as an attribute. I was getting unexpected results while filtering and this was the reason. Vivek again helped me debug it.
- I completed implementation of gradient boosting using classification.
Day 4:
- I wrote test cases for classification.
- I went through the data give by Satya and tried making sense out of it.
Day 5:
- I set up the environment to perform some text mining.
- Downloaded the data set and saved it in MongoDB.
- Has over 1.5 million documents.
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