docs: fix skforecast example and docs

Author: spolisar

docs/examples/skforecast.ipynb

@@ -118,9 +118,9 @@
    "id": "4bb01c41",
    "metadata": {},
    "source": [
-    "## Create a TimeCopilot instance with your sktime model\n",
+    "## Create a TimeCopilot instance with your skforecast model\n",
     "\n",
-    "You will need to specify the forecasters you're using when using sktime models. "
+    "You will need to specify the forecasters you're using when using skforecast models. "
    ]
   },
   {

timecopilot/models/adapters/skforecast.py

@@ -133,14 +133,22 @@ def forecast(
 
         Example:
             ```python
+            from lightgbm import LGBMRegressor
             import pandas as pd
             from timecopilot import TimeCopilot
-            from timecopilot.models.adapters.sktime import SKTimeAdapter
-            from sktime.forecasting.trend import TrendForecaster
+            from timecopilot.models.adapters.skforecast import SKForecastAdapter
+            from skforecast.recursive import ForecasterRecursive
+            from skforecast.preprocessing import RollingFeatures
+
+            forecaster = ForecasterRecursive(
+                 estimator       = LGBMRegressor(random_state=123, verbose=-1),
+                 lags            = 10,
+                 window_features = RollingFeatures(stats=['mean'], window_sizes=10)
+             )
 
             df = pd.read_csv("https://timecopilot.s3.amazonaws.com/public/data/air_passengers.csv")
-            adapted_skt_model = SKTimeAdapter(TrendForecaster())
-            tc = TimeCopilot(llm="openai:gpt-4o", forecasters=[adapted_skt_model])
+            adapted_skf_model = SKForecastAdapter(forecaster)
+            tc = TimeCopilot(llm="openai:gpt-4o", forecasters=[adapted_skf_model])
             result = tc.forecast(df, h=12, freq="MS")
             print(result.output)
             ```