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Use cloudpickle throughout

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This commit is contained in:
Matthias 2023-11-25 19:36:14 +01:00
parent e8d0b01991
commit eeb460e55c
1 changed files with 3 additions and 2 deletions
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freqtrade/freqai/data_drawer.py
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@ -12,7 +12,7 @@ import numpy as np
import pandas as pd
import psutil
import rapidjson
from joblib import dump, load
from joblib import load
from joblib.externals import cloudpickle
from numpy.typing import NDArray
from pandas import DataFrame
@ -471,7 +471,8 @@ class FreqaiDataDrawer:
# Save the trained model
if self.model_type == 'joblib':
dump(model, save_path / f"{dk.model_filename}_model.joblib")
with (save_path / f"{dk.model_filename}_model.joblib").open("wb") as fp:
cloudpickle.dump(model, fp)
elif self.model_type == 'keras':
model.save(save_path / f"{dk.model_filename}_model.h5")
elif self.model_type in ["stable_baselines3", "sb3_contrib", "pytorch"]: