how to load the weights - pretrained?

[ccruzalegui]

I would like to get some help here. I want to use the "weights" of my trained appliance (in this case the boiler of House 4). The dictionary seems to be well defined, but whatever path file I write in the "pre-trained" line is accepted, and my API runs anyway, what makes me think it is actually to taking the trained h5 file. This is very urgent for me since I am running the experiments in a standard PC (no GPU), and otherwise the experiments take forever.

I took the "pre-trained" line from a closed issue in the NILMTK repo here.
Appreciate your support!

ukdale = {
  'power': {
    'mains': ['apparent','active'],
    'appliance': ['apparent','active']
  },
  'sample_rate': 6,
  #'appliances': ['television','kettle', 'boiler', 'freezer', 'washing machine'],
  'appliances': ['boiler'],
  'pre-trained': {'Seq2Point': './Weights/boiler_seq2point-temp-weights-45573.h5'},
  'methods': {
    
      #'WindowGRU':WindowGRU({'n_epochs':1,'batch_size':32}),
      #'RNN':RNN({'n_epochs':1,'batch_size':32}),
      #'DAE':DAE({'n_epochs':1,'batch_size':32}),
      'Seq2Point':Seq2Point({'n_epochs':1,'batch_size':32, 'sequence_length': 99}),
      #'Seq2Seq':Seq2Seq({'n_epochs':1,'batch_size':32}),

      'Mean': Mean({}),
          
  },
   'train': {    
    'datasets': {
            'UK-DALE': {
                'path': './Dataset/ukdale.h5',
                #'path': './Weights/boiler_seq2point-temp-weights-45573.h5',
                'buildings': {
                4: {
                    'start_time': '2013-04-01 00:00:00',
                    'end_time': '2013-04-30 00:00:00'
                },
#                 56: {
#             'start_time': '2015-01-28',
#             'end_time': '2015-01-30'
#           },
            }
                                
            }
            }
    },
    'test': {
    'datasets': {
        'UK-DALE': {
            'path': './Dataset/ukdale.h5',
            'buildings': {
                4: {
                    'start_time': '2013-09-02 00:00:00',
                    'end_time': '2013-09-04 00:00:00'
                },
            }
        }
},
        'metrics':['mae', 'rmse']
}
}