EpicUsaMan
EpicUsaMan
### Description ``` lazy_df = pl.scan_parquet('PATH_TO_SOME_FILE') lazy_df = lazy_df.select(...some long running logic...).batch(56).next(streaming=True) ``` So, basically it's something like syntax sugar for ``` lazy_df.head(skip + batch_size).collect(...params...) ``` But with preserving caches...
### Description Currently there is no possibility to write data on disk without materializing it when dealing with many lazy frames which are nested from one lazy frame The only...
There is few optimizers which can show better generalization and training time: AdEMAMix and AdEMAMixShampoo It can be included in repo or add some interface to change optimizer by yourself
Error displaying widget: model not found on Jupiter when GPU is enabled Without GPU widget is displaying
RuntimeError: Error(s) in loading state_dict for BaseModel: Unexpected key(s) in state_dict: "epoch", "global_step", "pytorch-lightning_version", "state_dict", "loops", "callbacks", "optimizer_states", "lr_schedulers", "hparams_name", "hyper_parameters".
Problem: Process fails catboost version: 1.2.7 Operating System: ??? (Kaggle) CPU: ??? (Kaggle) GPU: P100 / T4x2 Params: {'learning_rate': 0.270640171567353, 'iterations': 1100, 'depth': 8, 'l2_leaf_reg': 0.33499139044072457, 'random_strength': 3.680321293260043, 'grow_policy': 'Depthwise',...