statsforecast.AutoCES model

models/sf-auto-ces/Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.11.6-slim-bookworm
+
+WORKDIR /usr/local/app
+
+COPY ./requirements.txt /usr/local/app/requirements.txt
+RUN pip install --no-cache-dir --upgrade pip
+RUN pip install --no-cache-dir -r /usr/local/app/requirements.txt
+
+# Polars requires AVX2 CPU instructions, which are not available on the server
+RUN pip uninstall -y polars
+RUN pip install --no-cache-dir polars-lts-cpu
+
+COPY ./src /usr/local/app/src
+
+ENV ENFOBENCH_MODEL_SEASONALITY="1D"
+
+EXPOSE 3000
+CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "3000"]

models/sf-auto-ces/requirements.txt

@@ -0,0 +1,2 @@
+enfobench>=0.3.5,<0.4.0
+statsforecast==1.5.0

models/sf-naive-seasonal/src/main.py

@@ -54,5 +54,6 @@ def forecast(
 
 # Instantiate your model
 model = SeasonalNaiveModel(seasonality)
+
 # Create a forecast server by passing in your model
 app = server_factory(model)