[英]automate to estimate best parameter in auto_arima using pyton
任何人都可以幫助我估計自動 arima 的最佳參數。
我正在使用下面的腳本,但不確定如何從 model 總結中提取最佳參數。
from pmdarima import auto_arima
# Fit auto_arima function to dataset
stepwise_fit = auto_arima(dataset['column1'], start_p = 1, start_q = 1,
max_p = 3, max_q = 3, m = 12,
start_P = 0, seasonal = True,
d = None, D = 1, trace = True,
error_action ='ignore', # we don't want to know if an order does not work
suppress_warnings = True, # we don't want convergence warnings
stepwise = True) # set to stepwise
# To print the summary
stepwise_fit.summary()
<class 'statsmodels.iolib.summary.Summary'>
"""
SARIMAX Results
============================================================================================
Dep. Variable: y No. Observations: 323
Model: SARIMAX(1, 0, 0)x(0, 1, [1], 12) Log Likelihood -2989.363
Date: Fri, 22 May 2020 AIC 5986.726
Time: 16:14:35 BIC 6001.685
Sample: 0 HQIC 5992.705
- 323
Covariance Type: opg
==============================================================================
請指教。
你應該做:
stepwise_fit.order
stepwise_fit.seasonal_order
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