[DOC] - Tutorial on long-horizon forecasting (#249)

Author: marcopeix

.github/workflows/ci.yaml

@@ -83,7 +83,7 @@ jobs:
           cache-environment: true
 
       - name: Install pip requirements
-        run: pip install ./ 
+        run: pip install -e ".[dev]"
 
       - name: Run tests 
         run: nbdev_test --skip_file_glob "*distributed*"

nbs/docs/tutorials/12_longhorizon.ipynb

@@ -3,8 +3,8 @@
 with open("README.md", "r", encoding="utf8") as fh:
     long_description = fh.read()
 
-dev = ["black", "nbdev", "plotly", "python-dotenv", "statsforecast"]
-distributed = ["dask", "fugue[ray]>=0.8.7", "pyspark", "ray[serve-grpc]"]
+dev = ["black", "nbdev", "plotly", "python-dotenv", "statsforecast", "datasetsforecast"]
+distributed = ["dask[dataframe]", "fugue[ray]>=0.8.7", "pyspark", "ray[serve-grpc]"]
 plotting = ["utilsforecast[plotting]>=0.0.5"]
 date_extras = ["holidays"]