RuntimeError: expected scalar type Float but found Double

#pyhon
機械学習のN-beatsをpythonのpycharm)実行しようとして、以下のエラーが出てしまいました。
Traceback (most recent call last):
File "C:/Users/takaa/PycharmProjects/pythonProject4/N-beats3.py", line 509, in <module>
verbose=True)
File "C:\Users\takaa\PycharmProjects\pythonProject6\venv\lib\site-packages\darts\utils\torch.py", line 112, in decorator
return decorated(self, *args, **kwargs)
RuntimeError: expected scalar type Float but found Double
Process finished with exit code 1

以下のリンクを参考にしています.

[https://towardsdatascience.com/n-beats-unleashed-deep-forecasting-using-neural-basis-expansion-analysis-in-python-343dd6307010
]

import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import os import sys import missingno as mno import warnings warnings.filterwarnings("ignore") import logging logging.disable(logging.CRITICAL) from darts import TimeSeries, concatenate from darts.dataprocessing.transformers import Scaler from darts.models import NBEATSModel from darts.metrics import mape, rmse from darts.utils.timeseries_generation import datetime_attribute_timeseries from darts.utils.likelihood_models import QuantileRegression #中略 model = NBEATSModel( input_chunk_length=INLEN, output_chunk_length=N_FC, num_stacks=BLOCKS, layer_widths=LWIDTH, batch_size=BATCH, n_epochs=EPOCHS, nr_epochs_val_period=VALWAIT, likelihood=QuantileRegression(QUANTILES), optimizer_kwargs={"lr": LEARN}, model_name="NBEATS_EnergyES", log_tensorboard=True, generic_architecture=True, random_state=RAND, force_reset=True, save_checkpoints=True ) # training: load a saved model or (re)train print(model) print(type(model)) #model=model.double() if LOAD: print("have loaded a previously saved model from disk:" + mpath) model = NBEATSModel.load_model(mpath) # load previously model from disk else: model.fit( series=ts_ttrain, past_covariates=cov_t, val_series=ts_ttest, val_past_covariates=cov_t, verbose=True) print("have saved the model after training:", mpath) model.save_model(mpath)