DummyModelResult

DummyModelResult(self, name='dummy', data=None, strategy='constant')

Dummy model result that always returns the same value.

Similar in spirit to https://scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html

Parameters

Name	Type	Description	Default
data	float	The value to return if strategy is ‘constant’, by default None	None
name	str	The name of the model result, by default ‘dummy’	'dummy'
strategy	str	The strategy to use, ‘mean’ uses the mean of the observation, ‘constant’ uses the value given in data, by default ‘constant’	'constant'

Examples

>>> import pandas as pd
>>> import modelskill as ms
>>> df = pd.DataFrame([0.0, 1.0], index=pd.date_range("2000", freq="H", periods=2))
>>> obs = ms.PointObservation(df, name="foo")
>>> mr = ms.DummyModelResult(strategy='mean')
>>> pmr = mr.extract(obs)
>>> pmr.to_dataframe()
                    dummy
time
2000-01-01 00:00:00    0.5
2000-01-01 01:00:00    0.5