solalatus

from orderbook import OrderBook

class ElectraOrderBook(OrderBook):
  
  def get_executed_trades(self):
    trades_list=[]
    #...
    # do some magic with self.idontknowwhat variables, put them into the trades_list...
    #...
    return trades_list

solalatus

import pandas as pd 
import numpy as np

class DiffNormalizer():

    def __init__(self, diff_len=1):
        self.diff_len = diff_len
        self.fitted = False
        self.first_values = None 

solalatus

#loading model
loaded_model = NHiTSModel.load_from_checkpoint("old_checkpoint","/content/", best=True)

#defining new parameters
MODEL_NAME = "finetune_only"
from torch.optim import RAdam
OPTIMIZER_CLS = RAdam
BASE_LR = 0.00001 
EPOCHS = 25