72 Commits

Author	SHA1	Message	Date
Matthias	3518a4167c	chore: minor typing fix	2024-10-20 15:24:45 +02:00
Matthias	92b2a6fa24	fix: Support mps device where available	2024-10-08 07:20:49 +02:00
Matthias	96f737f13e	chore: update freqai to modern typing syntax	2024-10-04 06:50:34 +02:00
Robert Caulk	123909cdac	fix: Update BasePyTorchRegressor.py	2024-09-26 16:31:43 +02:00
Matthias	a9732c6195	Fix odd formatting by ruff format	2024-05-13 07:10:25 +02:00
Matthias	d1db43dee0	ruff format: freqai	2024-05-13 07:10:25 +02:00
Matthias	d78a5798e3	Fix further warning message due to old Parallel import	2023-12-25 16:09:42 +01:00
Matthias	16958eaef2	Update sklearn import	2023-12-25 16:04:02 +01:00
robcaulk	fca73531cf	fix: use .shape instead of index for outliers	2023-06-25 16:34:44 +02:00
robcaulk	fd420738cd	ensure outlier-check is returning as a numpy array from datasieve	2023-06-25 15:43:02 +02:00
Robert Caulk	cca4fa1178	Update BaseClassifierModel.py	2023-06-18 11:31:03 +02:00
Robert Caulk	7e2f857aa5	Update BasePyTorchClassifier.py	2023-06-18 11:30:33 +02:00
robcaulk	b0ab400ff3	fix: ensure test_size=0 is still accommodated	2023-06-17 15:39:33 +02:00
robcaulk	11ff454b3b	fix: ensure that a user setting up their own pipeline wont have conflicts with DI_values	2023-06-17 13:21:31 +02:00
robcaulk	229ee643cd	revert change to deal with FT pinning old scikit-learn version	2023-06-10 13:24:09 +02:00
robcaulk	41e37f9d32	improve docs, update doc strings	2023-06-10 13:11:47 +02:00
robcaulk	4cdd6bc6c3	avoid using ram for unnecessary train_df, fix some deprecation warnings	2023-06-10 12:07:03 +02:00
robcaulk	33b028b104	ensure data kitchen thread count is propagated to pipeline	2023-06-08 12:33:08 +02:00
robcaulk	135aaa2be2	update docs, improve the interaction with define_data_pipeline	2023-06-07 18:26:49 +02:00
robcaulk	e572653616	bring classifier/rl up to new paradigm. ensure tests pass. remove old code. add documentation, add new example transform	2023-05-29 13:33:29 +02:00
robcaulk	31e19add27	start transition toward outsourcing the data pipeline with objective of improving pipeline flexibility	2023-05-26 18:40:14 +02:00
robcaulk	dd1a0156b9	resolve conflict, ensure gpu works with transformer	2023-05-19 14:39:16 +00:00
Robert Caulk	950eaf230e	Merge pull request #8580 from freqtrade/feat/add-transformer ... Add transformer to FreqAI	2023-05-07 11:32:38 +02:00
Tommaso Falchi	908a2e817a	Align BasePyTorchRegressor tensors to cpu as in BasePyTorchClassifier	2023-05-05 15:43:48 +02:00
Tommaso Falchi	306dfc4ae8	refactor(BasePyTorchClassifier.py): convert tensor to list before creating DataFrame to avoid TypeError. ... docs(BasePyTorchClassifier.py): add missing parameter description in predict method	2023-05-05 13:04:53 +02:00
robcaulk	af139ffbab	add transformer with positional encoding, fix some odds and ends in pytorch, upgrade to PyTorch 2.0	2023-05-01 13:18:03 +00:00
vinistation	d1eb6d4fed	Update BasePyTorchRegressor.py ... Denormalization of prediction added to te PytorchMLP Model	2023-04-28 14:48:16 -05:00
robcaulk	dcf9bbdaea	ensure data is on same device as the model	2023-04-13 12:19:34 +02:00
Yinon Polak	d9d9993179	add documentation	2023-04-03 17:06:39 +03:00
Yinon Polak	36a0a14a23	clean code	2023-04-03 16:26:42 +03:00
Yinon Polak	c137666230	fix imports	2023-04-03 16:03:15 +03:00
Yinon Polak	bd3b70293f	add pytorch data convertor	2023-04-03 15:19:10 +03:00
Yinon Polak	026b6a39a9	bugfix skip test split when empty	2023-03-28 14:40:23 +03:00
Yinon Polak	479aafc331	rename Torch to PyTorch	2023-03-22 17:50:00 +02:00
robcaulk	1ba01746a0	organize pytorch files	2023-03-21 15:09:54 +01:00
Yinon Polak	a80afc8f1b	add optional target tensor squeezing to pytorch trainer	2023-03-21 13:20:54 +02:00
Yinon Polak	97339e14cf	round up divisions in calc_n_epochs	2023-03-21 12:29:05 +02:00
Yinon Polak	443263803c	unsqueeze target tensor when 1 dimensional	2023-03-21 11:42:05 +02:00
Yinon Polak	f659f8e309	remove unused imports	2023-03-20 18:41:04 +02:00
Yinon Polak	54db239175	add pytorch regressor example	2023-03-20 18:41:04 +02:00
Yinon Polak	833aaf8e10	create children class to PyTorchClassifier to implement the fit method where we initialize the trainer and model objects	2023-03-20 18:41:04 +02:00
Yinon Polak	b6096efadd	logging change	2023-03-13 00:35:14 +02:00
Yinon Polak	b927c9dc01	remove train loss calculation from estimate_loss	2023-03-13 00:17:34 +02:00
Yinon Polak	1cf0e7be24	use one iteration on all test and train data for evaluation	2023-03-12 12:48:15 +02:00
Yinon Polak	e88a0d5248	convert single quotes to double quotes	2023-03-09 13:29:11 +02:00
Yinon Polak	2ef11faba7	reformat documentation	2023-03-09 13:25:20 +02:00
Yinon Polak	c9eee2944b	reformat documentation	2023-03-09 13:01:04 +02:00
Yinon Polak	6f962362f2	expand pytorch trainer documentation	2023-03-09 12:45:46 +02:00
Yinon Polak	ba5de0cd00	add documentation	2023-03-09 11:21:10 +02:00
Yinon Polak	3081b9402b	add documentation	2023-03-09 11:14:54 +02:00