mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 18:23:55 +00:00
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
import logging
|
|
from abc import ABC, abstractmethod
|
|
|
|
import torch
|
|
|
|
from freqtrade.freqai.freqai_interface import IFreqaiModel
|
|
from freqtrade.freqai.torch.PyTorchDataConvertor import PyTorchDataConvertor
|
|
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
class BasePyTorchModel(IFreqaiModel, ABC):
|
|
"""
|
|
Base class for PyTorch type models.
|
|
User *must* inherit from this class and set fit() and predict() and
|
|
data_convertor property.
|
|
"""
|
|
|
|
def __init__(self, **kwargs):
|
|
super().__init__(config=kwargs["config"])
|
|
self.dd.model_type = "pytorch"
|
|
self.device = "cuda" if torch.cuda.is_available() else "cpu"
|
|
test_size = self.freqai_info.get('data_split_parameters', {}).get('test_size')
|
|
self.splits = ["train", "test"] if test_size != 0 else ["train"]
|
|
self.window_size = self.freqai_info.get("conv_width", 1)
|
|
|
|
@property
|
|
@abstractmethod
|
|
def data_convertor(self) -> PyTorchDataConvertor:
|
|
"""
|
|
a class responsible for converting `*_features` & `*_labels` pandas dataframes
|
|
to pytorch tensors.
|
|
"""
|
|
raise NotImplementedError("Abstract property")
|