pipefitter.estimator.DecisionForest.fit

DecisionForest.fit(table, *args, **kwargs)

Fit function for decision forest

Parameters:

*args : dicts or two-element tuples or consecutive key/value pairs, optional

The following types are allowed:

• Dictionaries contain key/value pairs of parameters.
• Two-element tuples must contain the name of the parameter in the first element and the value in the second element.
• Consecutive key/value pairs are also allowed.

**kwargs : keyword arguments, optional

These keyword arguments are the same as on the constructor.

Returns:

DecisionForestModel

Examples

>>> forest = DecisionForest(target='Origin',
...                         inputs=['MPG_City', 'MPG_Highway', 'Length',
...                                 'Weight', 'Type', 'Cylinders'],
...                         nominals = ['Type', 'Cylinders', 'Origin'])
>>> model = forest.fit(training_data)