Wagner Costa Santos
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af5460cebf
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Add option to keep models only in memory for backtest
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2022-09-02 22:01:53 -03:00 |
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th0rntwig
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11b2bc269e
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Added missing s
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2022-09-01 22:37:32 +02:00 |
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th0rntwig
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3f8400df10
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Normalise PCA space
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2022-09-01 21:51:33 +02:00 |
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Wagner Costa Santos
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d6e115178a
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refactoring freqai backtesting - remove duplicate code
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2022-09-01 07:09:23 -03:00 |
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Wagner Costa Santos
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44d3a9140d
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Merge branch 'develop' of https://github.com/wagnercosta/freqtrade into develop
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2022-08-31 15:37:06 -03:00 |
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Wagner Costa Santos
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7bed0450d2
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pr review - refactoring backtesting freqai
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2022-08-31 15:36:29 -03:00 |
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wagnercosta
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3d4497467c
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Merge branch 'freqtrade:develop' into develop
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2022-08-31 14:47:06 -03:00 |
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robcaulk
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240b529533
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fix tensorboard path so that users can track all historical models
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2022-08-31 16:50:39 +02:00 |
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Richard Jozsa
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2493e0c8a5
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Unnecessary lines in Base4, and changes for box space, to fit better for our needs (#7324)
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2022-08-31 16:37:02 +02:00 |
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Wagner Costa Santos
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df51da22ee
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refactoring freqai backtesting
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2022-08-31 11:23:48 -03:00 |
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Matthias
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57ff6f8ac5
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Init timerange object properly
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2022-08-31 10:28:31 +00:00 |
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Matthias
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7ba4fda5d7
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Implement PR feedback
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2022-08-31 10:26:47 +00:00 |
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Matthias
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a88ffd2c9d
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Merge branch 'develop' into move_datadownload
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2022-08-31 10:23:45 +00:00 |
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robcaulk
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7e8e29e42d
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use continuous value for inlier_metric
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2022-08-30 20:41:37 +02:00 |
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robcaulk
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7f52908e87
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ensure the lost points are prepended for FreqUI
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2022-08-30 18:55:58 +02:00 |
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robcaulk
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a58dd0bbf9
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add noise feature, improve docstrings
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2022-08-30 18:26:24 +02:00 |
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robcaulk
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b11742a4c5
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integrate inlier metric function
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2022-08-30 18:26:24 +02:00 |
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th0rntwig
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d3cb211283
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Add inlier metric computation
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2022-08-30 18:26:24 +02:00 |
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th0rntwig
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50e2808667
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Fix bug in DI (#7321)
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2022-08-30 12:54:39 +02:00 |
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robcaulk
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62c0a174c8
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allow users to properly reverse train-test data ordering
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2022-08-29 11:04:58 +02:00 |
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robcaulk
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7766350c15
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refactor environment inheritence tree to accommodate flexible action types/counts. fix bug in train profit handling
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2022-08-28 19:21:57 +02:00 |
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robcaulk
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fcb5d1cb5a
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remove debugging flag
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2022-08-28 13:01:39 +02:00 |
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robcaulk
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dd628eb525
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add tests for outlier detection and removal functions
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2022-08-28 12:56:39 +02:00 |
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robcaulk
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1e41c773a0
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fix outlier protection
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2022-08-28 12:11:29 +02:00 |
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th0rntwig
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71f7d68783
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Fixed mypy error
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2022-08-27 12:44:55 +02:00 |
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elintornquist
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86c5ac44e4
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Add outlier percentage check
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2022-08-26 23:05:07 +02:00 |
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elintornquist
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b2d664c63c
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Change MinPts calculation
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2022-08-26 18:57:27 +02:00 |
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robcaulk
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bb3523f383
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download data homogeneously across timeframes
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2022-08-26 18:51:42 +02:00 |
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robcaulk
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e7261cf515
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add freqai utils.py file
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2022-08-26 15:30:28 +02:00 |
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robcaulk
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65b552e310
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make docs reflect reality, move download_all_data to new utils.py file, automatic startup_candle detection
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2022-08-26 15:30:01 +02:00 |
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robcaulk
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4b7e640f31
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reduce code duplication, optimize auto data download per tf
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2022-08-26 13:56:44 +02:00 |
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robcaulk
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baa4f8e3d0
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remove Base3ActionEnv in favor of Base4Action
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2022-08-26 11:04:25 +02:00 |
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richardjozsa
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d31926efdf
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Added Base4Action
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2022-08-26 11:04:25 +02:00 |
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robcaulk
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3199eb453b
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reduce code for base use-case, ensure multiproc inherits custom env, add ability to limit ram use.
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2022-08-25 19:05:51 +02:00 |
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robcaulk
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05ccebf9a1
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automate eval freq in multiproc
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2022-08-25 12:29:48 +02:00 |
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robcaulk
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94cfc8e63f
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fix multiproc callback, add continual learning to multiproc, fix totalprofit bug in env, set eval_freq automatically, improve default reward
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2022-08-25 11:46:18 +02:00 |
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robcaulk
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d1bee29b1e
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improve default reward, fix bugs in environment
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2022-08-24 18:32:40 +02:00 |
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robcaulk
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a61821e1c6
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remove monitor log
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2022-08-24 16:33:13 +02:00 |
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robcaulk
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bd870e2331
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fix monitor bug, set default values in case user doesnt set params
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2022-08-24 16:32:14 +02:00 |
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robcaulk
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c0cee5df07
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add continual retraining feature, handly mypy typing reqs, improve docstrings
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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b708134c1a
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switch multiproc thread count to rl_config definition
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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b26ed7dea4
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fix generic reward, add time duration to reward
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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280a1dc3f8
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add live rate, add trade duration
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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f9a49744e6
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add strategy to the freqai object
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2022-08-24 13:00:55 +02:00 |
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richardjozsa
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a2a4bc05db
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Fix the state profit calculation logic
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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29f0e01c4a
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expose environment reward parameters to the user config
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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d88a0dbf82
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add sb3_contrib models to the available agents. include sb3_contrib in requirements.
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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8b3a8234ac
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fix env bug, allow example strat to short
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2022-08-24 13:00:55 +02:00 |
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mrzdev
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8cd4daad0a
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Feat/freqai rl dev (#7)
* access trades through get_trades_proxy method to allow backtesting
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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3eb897c2f8
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reuse callback, allow user to acces all stable_baselines3 agents via config
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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4b9499e321
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improve nomenclature and fix short exit bug
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2022-08-24 13:00:55 +02:00 |
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sonnhfit
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4baa36bdcf
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fix persist a single training environment for PPO
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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f95602f6bd
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persist a single training environment.
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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5d4e5e69fe
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reinforce training with state info, reinforce prediction with state info, restructure config to accommodate all parameters from any user imported model type. Set 5Act to default env on TDQN. Clean example config.
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2022-08-24 13:00:55 +02:00 |
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sonnhfit
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7962a1439b
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remove keep low profit
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2022-08-24 13:00:55 +02:00 |
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sonnhfit
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81b5aa66e8
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make env keep current position when low profit
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2022-08-24 13:00:55 +02:00 |
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sonnhfit
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45218faeb0
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fix coding convention
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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b90da46b1b
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improve price df handling to enable backtesting
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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2080ff86ed
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5ac base fixes in logic
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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16cec7dfbd
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fix save/reload functionality for stablebaselines
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2022-08-24 13:00:55 +02:00 |
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sonnhfit
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0475b7cb18
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remove unuse code and fix coding conventions
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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d60a166fbf
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multiproc TDQN with xtra callbacks
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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dd382dd370
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add monitor to eval env so that multiproc can save best_model
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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69d542d3e2
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match config and strats to upstream freqai
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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e5df39e891
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ensuring best_model is placed in ram and saved to disk and loaded from disk
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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bf7ceba958
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set cpu threads in config
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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57c488a6f1
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learning_rate + multicpu changes
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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acf3484e88
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add multiprocessing variant of ReinforcementLearningPPO
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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cf0731095f
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type fix
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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1c81ec6016
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3ac and 5ac example strategies
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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13cd18dc9a
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PPO policy change + verbose=1
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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926023935f
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make base 3ac and base 5ac environments. TDQN defaults to 3AC.
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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096533bcb9
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3ac to 5ac
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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718c9d0440
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action fix
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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9c78e6c26f
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base PPO model only customizes reward for 3AC
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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6048f60f13
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get TDQN working with 5 action environment
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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d4db5c3281
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ensure TDQN class is properly named
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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91683e1dca
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restructure RL so that user can customize environment
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2022-08-24 13:00:55 +02:00 |
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sonnhfit
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ecd1f55abc
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add rl module
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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9b895500b3
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initial commit - new dev branch
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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cd3fe44424
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callback function and TDQN model added
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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01232e9a1f
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callback function and TDQN model added
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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8eeaab2746
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add reward function
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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ec813434f5
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ReinforcementLearningModel
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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2f4d73eb06
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Revert "ReinforcementLearningModel"
This reverts commit 4d8dfe1ff1daa47276eda77118ddf39c13512a85.
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2022-08-24 13:00:55 +02:00 |
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MukavaValkku
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c1e7db3130
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ReinforcementLearningModel
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2022-08-24 13:00:55 +02:00 |
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robcaulk
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05ed1b544f
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Working base for reinforcement learning model
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2022-08-24 13:00:40 +02:00 |
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th0rntwig
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5ce1c69803
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Improve DBSCAN epsilon identification (#7269)
* Improve DBSCAN epsilon identification
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2022-08-22 19:57:20 +02:00 |
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robcaulk
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ac42c0153d
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deprecate indicator_max_period_candles, automatically compute startup candles for FreqAI backtesting.
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2022-08-22 18:19:07 +02:00 |
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robcaulk
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96d8882f1e
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Plug mem leak, add training timer
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2022-08-22 13:30:30 +02:00 |
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longyu
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cfa5b3f12c
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add new line
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2022-08-19 12:39:08 +02:00 |
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longyu
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277245c69d
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remove line
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2022-08-19 12:39:00 +02:00 |
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longyu
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f70b0bab80
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remove line
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2022-08-17 23:49:20 +02:00 |
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robcaulk
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5155afb4e7
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clean up code remnants
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2022-08-17 15:22:48 +02:00 |
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robcaulk
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0c34104e45
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extract download-data from freqai to prepare for future async changes
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2022-08-17 15:18:44 +02:00 |
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longyu
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9c38c27eed
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ignore sample itself distance for avg_mean_dist computation
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2022-08-17 15:09:57 +02:00 |
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longyu
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72c34291e3
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newline
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2022-08-17 15:09:10 +02:00 |
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robcaulk
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4c0fda400f
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fix input shape warning for LGBMClassifier, add sample_weights/eval_weights
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2022-08-16 11:41:53 +02:00 |
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Matthias
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c7e1719215
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Fix interface import sorting
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2022-08-15 06:53:02 +02:00 |
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robcaulk
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006b11e5d5
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fix leftover bug in indicator population
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2022-08-14 21:42:55 +02:00 |
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