robcaulk
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93e1410ed9
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first step toward cleaning output and enabling multimodel training per pair
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2022-07-01 14:00:30 +02:00 |
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robcaulk
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6c7d02cb18
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expose nu in the SVM outlier detection via svm_nu in config
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2022-06-28 15:12:25 +02:00 |
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robcaulk
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7dfbd432d1
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fix config saving bug, assign priorities to pairs in scanning, sleep the scanning loop to reduce CPU usage
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2022-06-27 11:35:33 +02:00 |
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robcaulk
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68bafa9517
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archive config to the model folder, filter out features before returning dataframe to strategy (to alleviate frequi issues)`
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2022-06-26 23:03:48 +02:00 |
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robcaulk
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b35c64b6c0
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fix bug in backtest, typo in example strat
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2022-06-19 16:41:09 +02:00 |
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robcaulk
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3599d18ff6
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fix bug in follow_mode, thanks @blood4rc
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2022-06-18 12:05:28 +02:00 |
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robcaulk
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6da7a98857
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add docstrings to new functions, remove superceded code
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2022-06-17 16:16:23 +02:00 |
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robcaulk
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f631ae911b
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add model expiration feature, fix bug in DI return values
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2022-06-17 14:55:40 +02:00 |
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robcaulk
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0b0688a91e
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ensure scanning purges models
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2022-06-16 16:12:38 +02:00 |
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robcaulk
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c5de0c49e4
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first functional scanning commit
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2022-06-16 00:24:18 +02:00 |
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robcaulk
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4d472a0ea1
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merging datarehaul into scanning branch
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2022-06-16 00:22:49 +02:00 |
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robcaulk
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66800c7a45
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ensure newest candles are always appended
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2022-06-07 20:24:23 +02:00 |
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robcaulk
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15d049cffe
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detect if upper tf candles are new or not, append if so. Correct the epoch for candle update check
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2022-06-07 19:49:20 +02:00 |
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robcaulk
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4b26b6aaec
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add lock to any historic data access
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2022-06-07 00:54:18 +02:00 |
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robcaulk
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d6b8801f41
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fix follower bug
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2022-06-05 04:40:58 +02:00 |
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robcaulk
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16b4a5b71f
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rehaul of backend data management - increasing performance by holding history in memory, reducing load on the ratelimit by only pinging exchange once per candle. Improve code readability.
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2022-06-03 15:19:46 +02:00 |
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robcaulk
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ace951bf7e
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another queue bug fix for fresh starts
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2022-06-02 13:28:06 +02:00 |
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robcaulk
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833d25bda0
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Save data after queue reorg
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2022-06-01 08:05:38 +02:00 |
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robcaulk
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0b0dd8dd80
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Force high priority pair to be trained before anything else.
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2022-06-01 07:55:05 +02:00 |
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robcaulk
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7523ed825e
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automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now).
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2022-05-31 18:42:27 +02:00 |
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robcaulk
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9b3b08a2bb
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let follower purge old model files
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2022-05-31 15:37:38 +02:00 |
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robcaulk
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bac4ced382
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Ensure follower predictions are persistent and uniquely stored
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2022-05-31 14:35:04 +02:00 |
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robcaulk
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70adf55643
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Automatically detect and change follower data_path to accommodate remote systems
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2022-05-31 12:35:09 +02:00 |
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robcaulk
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0306f5ca13
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Add autopurge feature so that FreqAI cleans up after itself when it no longer needs old models on disk
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2022-05-31 11:58:21 +02:00 |
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robcaulk
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45f4f0f603
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ensure follower sends back null arrays in case leader hasnt created a model file yet
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2022-05-31 01:48:48 +02:00 |
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robcaulk
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606f18e5c1
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Add follow_mode feature so that secondary bots can be launched with the same identifier and load models trained by the leader
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2022-05-30 21:35:48 +02:00 |
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robcaulk
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5b4c649d43
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detect variable sized dataframes coming from strat, adjust our stored/returned data accordingly
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2022-05-30 13:55:46 +02:00 |
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robcaulk
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e229902381
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fix bug in previous commit
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2022-05-30 12:48:22 +02:00 |
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robcaulk
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a20651efd8
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Increase performance by only predicting on most recent candle instead of full strat provided dataframe. Collect predictions and store them so that we can feed true predictions back to strategy (so that frequi isnt updating historic predictions based on newly trained models).
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2022-05-30 11:37:05 +02:00 |
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robcaulk
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d59eac3321
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revert a79032b
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2022-05-29 21:33:38 +02:00 |
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robcaulk
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a79032bf75
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fixing bug in training queue
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2022-05-29 20:19:32 +02:00 |
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robcaulk
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3f72263278
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allow pairs deeper in the queue to get trained if the higher priority pairs dont need training
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2022-05-29 20:02:43 +02:00 |
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robcaulk
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cc6cae47ec
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allow pairs deeper in the queue to get trained if the higher priority pairs dont need training
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2022-05-29 19:49:43 +02:00 |
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robcaulk
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4eb4753e20
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allow subdaily retraining for backtesting
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2022-05-29 17:44:35 +02:00 |
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robcaulk
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ce365eb9e3
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improve example strat so that it has dynamic buy and sell logic according to original prediction
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2022-05-29 14:45:46 +02:00 |
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robcaulk
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4eb29c8810
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Dont reset pair priority if it doesnt successfully train
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2022-05-28 18:34:26 +02:00 |
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robcaulk
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83dd453723
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catch errors occuring on background thread, and make sure to keep the ball rolling. Improve pair retraining queue.
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2022-05-28 18:26:19 +02:00 |
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robcaulk
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e54614fa2f
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remove remnants of single threaded version, ensure pair queue priority is checked before retraining
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2022-05-28 14:55:07 +02:00 |
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robcaulk
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2a4d1e2d64
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fix bug in setting new timerange for retraining
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2022-05-28 12:23:26 +02:00 |
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robcaulk
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7870a86e9a
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fix live retraining bug
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2022-05-28 11:38:57 +02:00 |
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robcaulk
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0bf915054d
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handle key check correctly
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2022-05-28 11:22:32 +02:00 |
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robcaulk
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c5a16e91fb
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throw user error if user tries to load models but feeds the wrong features (while using PCA)
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2022-05-28 11:11:41 +02:00 |
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robcaulk
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6193205012
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fix bug for target_mean/std array merging in backtesting
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2022-05-26 21:07:50 +02:00 |
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robcaulk
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b79d4e8876
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Allow user to go live and start from pretrained models (after a completed backtest) by simply reusing the `identifier` config parameter while dry/live.
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2022-05-25 14:40:32 +02:00 |
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robcaulk
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7486d9d9e2
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proper validation of freqai config parameters
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2022-05-25 12:37:25 +02:00 |
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robcaulk
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7ff3258607
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remove assertions, log error if user has not assigned freqai in config, fix stratify bug
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2022-05-25 11:43:45 +02:00 |
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robcaulk
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35bed842cb
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cleanup, add clarity to comments and docstrings
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2022-05-25 11:31:03 +02:00 |
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robcaulk
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58b5abbaa6
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improve multithreaded training queue system
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2022-05-24 15:28:38 +02:00 |
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robcaulk
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255d35976e
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add priority metadata to pairs to avoid a sync of train time + train period
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2022-05-24 12:58:53 +02:00 |
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robcaulk
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059c285425
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paying closer attention to managing live retraining on separate thread without affecting prediction of other coins on master thread
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2022-05-24 12:01:01 +02:00 |