Update pipelines docs and fix typo in EDA tutorial (#408)

CHANGELOG.md

@@ -21,7 +21,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - 
 - 
 - 
-- 
+-
+- Update pipelines documentation ([#408](https://github.com/etna-team/etna/pull/408))
 - Update formulas for metrics in documentation ([#406](https://github.com/etna-team/etna/pull/406))
 - 
 - Update documentation to explain how to contribute and work with discussions, update templates for issues ([#395](https://github.com/etna-team/etna/pull/395))
@@ -30,6 +31,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Fixed
 - Fix rendering in 210 tutorial ([#386](https://github.com/etna-team/etna/pull/386))
+- Fix typo in 103 tutorial ([#408](https://github.com/etna-team/etna/pull/408))
 - Remove sorting of `ts.df` by timestamps in `plot_forecast` and `plot_forecast_decomposition` ([#410](https://github.com/etna-team/etna/pull/410))
 - 
 - 

etna/core/mixins.py

@@ -164,7 +164,7 @@ def set_params(self, **params: dict) -> Self:
         >>> from etna.pipeline import Pipeline
         >>> from etna.models import NaiveModel
         >>> from etna.transforms import AddConstTransform
-        >>> model = model=NaiveModel(lag=1)
+        >>> model = NaiveModel(lag=1)
         >>> transforms = [AddConstTransform(in_column="target", value=1)]
         >>> pipeline = Pipeline(model, transforms=transforms, horizon=3)
         >>> pipeline.set_params(**{"model.lag": 3, "transforms.0.value": 2})

etna/ensembles/direct_ensemble.py

@@ -25,6 +25,13 @@ class DirectEnsemble(EnsembleMixin, SaveEnsembleMixin, BasePipeline):
     For each point in the future, forecast of the ensemble is forecast of base pipeline with the shortest horizon,
     which covers this point.
 
+    See Also
+    --------
+    etna.pipeline.Pipeline:
+        Pipeline that forecasts values in one iteration using a model.
+    etna.pipeline.AutoRegressivePipeline:
+        Pipeline that forecasts values in several iterations using a model.
+
     Examples
     --------
     >>> from etna.datasets import generate_ar_df

etna/pipeline/autoregressive_pipeline.py

@@ -20,7 +20,18 @@
 class AutoRegressivePipeline(
     ModelPipelinePredictMixin, ModelPipelineParamsToTuneMixin, SaveModelPipelineMixin, BasePipeline
 ):
-    """Pipeline that make regressive models autoregressive.
+    """
+    Pipeline that make regressive models autoregressive.
+
+    Makes forecast in several iterations, on each of them applies transforms and
+    predict ``step`` values by using forecast method of model.
+
+    See Also
+    --------
+    etna.pipeline.Pipeline:
+        Makes forecast in one iteration.
+    etna.ensembles.DirectEnsemble:
+        Makes forecast by merging the forecasts of base pipelines.
 
     Examples
     --------

etna/pipeline/pipeline.py

@@ -18,7 +18,19 @@
 
 
 class Pipeline(ModelPipelinePredictMixin, ModelPipelineParamsToTuneMixin, SaveModelPipelineMixin, BasePipeline):
-    """Pipeline of transforms with a final estimator."""
+    """
+    Pipeline of transforms with a final estimator.
+
+    Makes forecast in one iteration, during which applies transforms and makes
+    call for forecast method for model.
+
+    See Also
+    --------
+    etna.pipeline.AutoRegressivePipeline:
+        Makes forecast in several iterations.
+    etna.ensembles.DirectEnsemble:
+        Makes forecast by merging the forecasts of base pipelines.
+    """
 
     def __init__(self, model: ModelType, transforms: Sequence[Transform] = (), horizon: int = 1):
         """