Use prophet (1.0) instead of fbprophet (0.7)

kats/data/README

@@ -4,15 +4,15 @@ Please note: it's always dangerous to upload data set to fbcode, so please
 keep the data set as small as possible, it's just for testing purpose.
 
 1. air_passengers.csv
-   See more details from fbprophet github: https://github.com/facebook/prophet/tree/master/examples
+   See more details from prophet github: https://github.com/facebook/prophet/tree/master/examples
 2. mean_change_detection_test.csv
    Simulated example time series to test mean change detection. The real change point for
    increase change is 30 and 50 for decrease. See n165038 for how to generated the time series.
 3. cdn_working_set.csv
 4. multi_ts.csv
 5. peyton_manning.csv
-   See more details from fbprophet github: https://github.com/facebook/prophet/tree/master/examples
+   See more details from prophet github: https://github.com/facebook/prophet/tree/master/examples
 6. retail_sales.csv
-   See more details from fbprophet github: https://github.com/facebook/prophet/tree/master/examples
+   See more details from prophet github: https://github.com/facebook/prophet/tree/master/examples
 7. yosemite_temps.csv
-   See more details from fbprophet github: https://github.com/facebook/prophet/tree/master/examples
+   See more details from prophet github: https://github.com/facebook/prophet/tree/master/examples

kats/detectors/prophet_detector.py

@@ -14,8 +14,8 @@
 import pandas as pd
 
 try:
-    from fbprophet import Prophet
-    from fbprophet.serialize import model_from_json, model_to_json
+    from prophet import Prophet
+    from prophet.serialize import model_from_json, model_to_json
 
     _no_prophet = False
 except ImportError:
@@ -144,7 +144,7 @@ def __init__(
         uncertainty_samples: float = 50,
     ) -> None:
         if _no_prophet:
-            raise RuntimeError("requires fbprophet to be installed")
+            raise RuntimeError("requires prophet to be installed")
         if serialized_model:
             self.model = model_from_json(serialized_model)
         else:

kats/models/prophet.py

@@ -8,7 +8,7 @@
 import pandas as pd
 
 try:
-    from fbprophet import Prophet
+    from prophet import Prophet
 
     _no_prophet = False
 except ImportError:
@@ -102,7 +102,7 @@ def __init__(
         custom_seasonalities: Optional[List[Dict]] = None,
     ) -> None:
         if _no_prophet:
-            raise RuntimeError("requires fbprophet to be installed")
+            raise RuntimeError("requires prophet to be installed")
         super().__init__()
         self.growth = growth
         self.changepoints = changepoints
@@ -205,7 +205,7 @@ class ProphetModel(m.Model):
     def __init__(self, data: TimeSeriesData, params: ProphetParams) -> None:
         super().__init__(data, params)
         if _no_prophet:
-            raise RuntimeError("requires fbprophet to be installed")
+            raise RuntimeError("requires prophet to be installed")
         if not isinstance(self.data.value, pd.Series):
             msg = "Only support univariate time series, but get {type}.".format(
                 type=type(self.data.value)

requirements.txt

@@ -7,4 +7,4 @@ python-dateutil>=2.8.0
 scikit-learn>+0.24.2
 seaborn>=0.11.1
 setuptools-git>=1.2
-statsmodels>=0.12.2
+statsmodels>=0.12.2,<0.13.0

test_requirements.txt

@@ -1,7 +1,7 @@
 LunarCalendar>=0.0.9
 botorch==0.3.2
 ax-platform==0.1.18
-fbprophet==0.7
+prophet==1.0
 neuralprophet>=0.2.7
 gpytorch==1.2.1
 holidays>=0.10.2