Examples of WhizzML scripts and libraries
Each script or library is in a directory in this folder. For each one
you will always find a readme explaining what's its purpose and usage,
the actual whizzml code in a .whizzml
file, and the JSON metadata
needed to create BigML resources.
By convention, when the artifact is a library, the files are called
library.whizzml
and metadata.json
, while for a script we use
script.whizzml
and metadata.json
.
Examples
model-or-ensemble
Decide whether to use models or ensembles for predictions, given an input source.remove-anomalies
Using Flatline and an anomaly detector, remove from an input dataset its anomalous rows.smacdown-branin
Simple example of SMACdown, using the Branin function as evaluator.find-neighbors
Using cluster distances as a metric, find instances in a dataset close to a given row.stacked-generalization
Simple stacking using decision tree, ensembles and logistic regression.best-first
Feature selection using a greedy algorithm.gradient-boosting
Boosting algorithm using gradient descent.model-per-cluster
Scripts and library to model data after clustering and make predictions using the resulting per-cluster model.