示例#1
0
 def train(self, data, **kwargs):
     if kwargs.get('sets', None) is not None:
         self.sets = kwargs.get('sets', None)
     if kwargs.get('parameters', None) is not None:
         self.seasonality = kwargs.get('parameters', None)
     flrs = FLR.generate_indexed_flrs(self.sets, self.indexer, data)
     self.generate_flrg(flrs)
示例#2
0
文件: msfts.py 项目: zilla-liu/pyFTS
 def train(self, data, **kwargs):
     if kwargs.get('sets', None) is not None:
         self.sets = kwargs.get('sets', None)
     if kwargs.get('parameters', None) is not None:
         self.seasonality = kwargs.get('parameters', None)
     #ndata = self.indexer.set_data(data,self.doTransformations(self.indexer.get_data(data)))
     flrs = FLR.generate_indexed_flrs(self.sets, self.indexer, data)
     self.generate_flrg(flrs)
示例#3
0
文件: cmsfts.py 项目: zilla-liu/pyFTS
 def train(self, data, **kwargs):
     if kwargs.get('sets', None) is not None:
         self.sets = kwargs.get('sets', None)
     if kwargs.get('parameters', None) is not None:
         self.seasonality = kwargs.get('parameters', None)
     flrs = FLR.generate_indexed_flrs(
         self.sets,
         self.indexer,
         data,
         transformation=self.partitioner.transformation,
         alpha_cut=self.alpha_cut)
     self.generate_flrg(flrs)