migrate core processing to utilsforecast (#656)

.github/workflows/ci.yaml

@@ -45,7 +45,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [3.7, 3.8, 3.9, '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11']
     steps:
       - name: Clone repo
         uses: actions/checkout@v3
@@ -70,7 +70,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, macos-latest]
-        python-version: [3.7, 3.8, 3.9, '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11']
     steps:
       - name: Clone repo
         uses: actions/checkout@v3
@@ -83,7 +83,7 @@ jobs:
           cache-environment: true
 
       - name: Install pip requirements
-        run: pip install ./ 
+        run: pip install ./
 
       - name: Run tests 
         run: nbdev_test --skip_file_re '(distributed).*.ipynb' --pause 1.0

action_files/test_fit_predict.py

@@ -15,7 +15,7 @@
 
 def get_data():
     df2 = df.copy(deep=True)
-    df2['unique_id'] = 'AirPassengers2'
+    df2['unique_id'] = 2.0
     df2['y'] *= 2
     return pd.concat([df, df2])
 
@@ -47,4 +47,4 @@ def test_fit_predict(n_jobs):
     df_fcst = sf.forecast(df=AirPassengersPanel[['unique_id', 'ds', 'y']], h=7)
     sf.fit(df=AirPassengersPanel[['unique_id', 'ds', 'y']])
     df_predict = sf.predict(h=7)
-    pd.testing.assert_frame_equal(df_fcst, df_predict)
+    pd.testing.assert_frame_equal(df_fcst, df_predict)

dev/environment.yml

@@ -16,11 +16,11 @@ dependencies:
   - statsmodels>=0.13.2
   - tabulate
   - plotly
-  - utilsforecast>=0.0.5
   - pip:
     - fugue[dask,ray]
     - nbdev
     - plotly-resampler
     - polars
     - supersmoother
     - tqdm
+    - utilsforecast>=0.0.14

dev/local_environment.yml

@@ -15,10 +15,10 @@ dependencies:
   - statsmodels>=0.13.2
   - tabulate
   - plotly
-  - utilsforecast>=0.0.5
   - pip:
     - nbdev
     - plotly-resampler
     - polars
     - supersmoother
     - tqdm
+    - utilsforecast>=0.0.14