FIX: deprecated pytorch lightning trainer flags

CHANGELOG.md

@@ -42,7 +42,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Fix behavior of SARIMAXModel if simple_differencing=True is set ([#837](https://github.com/tinkoff-ai/etna/pull/837))
 - 
 - Bug python3.7 and TypedDict import ([867](https://github.com/tinkoff-ai/etna/pull/867))
-- 
+- Fix deprecated  pytorch lightning trainer flags ([#866](https://github.com/tinkoff-ai/etna/pull/866))
 - ProphetModel doesn't work with cap and floor regressors ([#842](https://github.com/tinkoff-ai/etna/pull/842))
 - Fix problem with encoding category types in OHE ([#843](https://github.com/tinkoff-ai/etna/pull/843))
 - 

etna/models/nn/deepar.py

@@ -156,7 +156,6 @@ def fit(self, ts: TSDataset) -> "DeepARModel":
             logger=tslogger.pl_loggers,
             max_epochs=self.max_epochs,
             gpus=self.gpus,
-            checkpoint_callback=False,
             gradient_clip_val=self.gradient_clip_val,
         )
         trainer_kwargs.update(self.trainer_kwargs)

etna/models/nn/tft.py

@@ -163,7 +163,6 @@ def fit(self, ts: TSDataset) -> "TFTModel":
             logger=tslogger.pl_loggers,
             max_epochs=self.max_epochs,
             gpus=self.gpus,
-            checkpoint_callback=False,
             gradient_clip_val=self.gradient_clip_val,
         )
         trainer_kwargs.update(self.trainer_kwargs)