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Introduction
Spark plugin that trains and predicts the label data based on the Gradient Boosted Tree Classifier.
Use-case
User Stories
User should be able to train the data.
User should be able to classify the test data using the model build while training.
User should be able to provide the list of columns(features) to use for training.
User should be able to provide the list of columns(features) to be used for prediction.
User should be able to provide the column to be used as prediction field while training/regression.
User should be able to specify the maximum depth of the Gradient Boosted tree.
User should be able to specify maximum number of classes.
User should be able to provide the file set name to save the training model.
User should be able to provide the path of the file set.
Example
Conditions
Design
Table of Contents
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Checklist
- User stories documented
- User stories reviewed
- Design documented
- Design reviewed
- Feature merged
- Examples and guides
- Integration tests
- Documentation for feature
- Short video demonstrating the feature