def multipipeline():
multipipeline = MultiPipeline({
'features':
PandasValueSelector('weather_temperature'),
'usage':
PandasValueSelector(ini.Columns.target)
})
return multipipeline
def multimodel(multinetwork):
id_pipeline = Pipeline([('select', PandasValueSelector(columns='id'))])
usage_pipeline = Pipeline([('select', PandasValueSelector('usage'))])
multipipeline = MultiPipeline({
'id_pipeline': id_pipeline,
'usage_pipeline': usage_pipeline
})
multimodel = MultiModel(multinetwork=multinetwork,
multipipeline=multipipeline,
manifold={'combined': (['id', 'usage'])})
return multimodel
def invalid_multimodel(multinetwork):
id_pipeline = Pipeline([('s1', PandasColumnSelector('datetime')),
('select', PandasValueSelector('hour'))])
usage_pipeline = Pipeline([('select', PandasValueSelector('usage'))])
multipipeline = MultiPipeline({
'id_pipeline': id_pipeline,
'usage_pipeline': usage_pipeline
})
multimodel = MultiModel(multinetwork=multinetwork,
multipipeline=multipipeline,
manifold={'combined': (['id', 'usage'])})
return multimodel
def multipipeline_validation():
pipeline_id = Pipeline([('id', PandasValueSelector(columns='id'))])
pipeline_hour = Pipeline([('featurize',
PandasDateTimeFeaturizer(column='datetime',
attributes='hour')),
('select', PandasValueSelector(columns=['hour']))
])
multipipeline = MultiPipeline({
'id_pipeline': pipeline_id,
'hour_pipeline': pipeline_hour
})
return multipipeline
def multimodel_validation(multinetwork):
multipipeline = MultiPipeline({
'features_pipeline':
Pipeline([('weather', PandasValueSelector('weather_temperature'))]),
'usage_pipeline':
Pipeline([('usage', PandasValueSelector('usage'))])
})
multimodel = MultiModel(multinetwork=multinetwork,
multipipeline=multipipeline,
manifold={'forecaster': ('usage', 'usage')})
return multimodel
def multipipeline():
multipipeline = MultiPipeline({
'scaler': StandardScaler(),
'poly': PolynomialFeatures(degree=2)
})
return multipipeline