This folder contains some basic scripts that are mainly written to provide simple examples of utilities that can be done using WhizzML. The examples are provided to illustrate how to build simple functions that can be combined to perform usual chores.
Besides those examples, the docs folder contains 101's commented examples
that describe the steps needed to create canonical training and predicting
workflows. Each 101 deals with a different model type:
- 101_anomaly
- 101_association
- 101_cluster
- 101_deepnet
- 101_ensemble
- 101_fusion
- 101_images_classification
- 101_images_feature_extraction
- 101_linear_regression
- 101_logistic_regression
- 101_model
- 101_optiml
- 101_pca
- 101_scripting
- 101_topic_model
- 101_ts
Most of these documents focus on the creation calls for all BigML resources using default parameters. Of course, they can be modified to add other tuning parameters in each creation call. To learn more about the available parameter, please check the API documentation.