######## python and prophet version details
prophet version=1.1.4
python_version=3.9.12
I am using the same version in my local machine its working file. but i am facing error on DATAIKU
########### Code Sample ########
lag_periods = [1,5, 10, 15]
for lag in lag_periods:
df_prophet[f'Lag_{lag}'] = df_prophet['y'].shift(lag)
df_prophet['Rolling_Mean_7'] = df_prophet['y'].rolling(window=3).mean()
df_prophet['Rolling_Mean_14'] = df_prophet['y'].rolling(window=14).mean()
df_prophet['Rolling_Mean_30'] = df_prophet['y'].rolling(window=30).mean()
df_prophet['Exp_Moving_Avg_3'] = df_prophet['y'].ewm(span=3).mean()
df_prophet['Exp_Moving_Avg_7'] = df_prophet['y'].ewm(span=7).mean()
# Create trend features
df_prophet['Linear_Trend'] = df_prophet['y'].ewm(alpha=0.1).mean()
df_prophet['Quadratic_Trend'] = df_prophet['y'].ewm(alpha=0.1).mean().pow(2)
df_prophet['Exponential_Trend'] = df_prophet['y'].ewm(alpha=0.1).mean().ewm(alpha=0.1).mean()
df_prophet['Cubic_Trend'] = df_prophet['y'].ewm(alpha=0.5).mean().pow(3)
# Create outlier features
#df_prophet['Is_Outlier_Sale'] = df_prophet['y'].apply(lambda x: x > 3 * df['y'].std())
# Create rate of change feature
df_prophet['Rate_of_Change'] = df_prophet['y'].pct_change() * 100
# Initialize and fit Prophet model
prophet_model = Prophet( seasonality_prior_scale=0.05, changepoint_prior_scale=0.2,
yearly_seasonality=True, weekly_seasonality=True, daily_seasonality=True)
prophet_model.add_seasonality(name='monthly', period=30.44, fourier_order=4) # Capturing monthly seasonality
prophet_model.add_country_holidays(country_name='SA')
# Fit the model
prophet_model.fit(df_prophet)
#############################
RuntimeError: Error during optimization! Command '/dataiku/Data_dir_design/code-envs/python/Py39/lib/python3.9/site-packages/prophet/stan_model/prophet_model.bin random seed=91535 data file=/tmp/tmpnvp6v2uv/tvj8jixl.json init=/tmp/tmpnvp6v2uv/czt0d5ix.json output file=/tmp/tmpnvp6v2uv/prophet_modelc9a_94m7/prophet_model-20230919112247.csv method=optimize algorithm=newton iter=10000' failed:
