1f32f952d84f0d44fcfe03367d3834d2464b63a0,nilmtk/disaggregate/combinatorial_optimisation.py,CombinatorialOptimisation,import_model,#CombinatorialOptimisation#Any#,256

Before Change

        return appliance_powers

    def import_model(self, filename):
        imported_model = pickle.load(open(filename, "r"))
        self.model = imported_model.model
        // recreate datastores from filenames
        for pair in self.model:
            pair["training_metadata"].store = HDFDataStore(

After Change

        return appliance_powers

    def import_model(self, filename):
        with open(filename, "rb") as in_file:
            imported_model = pickle.load(in_file)
            
        self.model = imported_model.model
        
        // Recreate datastores from filenames
        for pair in self.model:

Instances