fixed bad output Sarima

Author: steven-ja

content/posts/finance/stock_prediction/SARIMA/index.md

@@ -240,13 +240,6 @@ results = sarima_model.fit()
 
 print(results.summary())
 ```
-
-    c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.
-      self._init_dates(dates, freq)
-    c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.
-      self._init_dates(dates, freq)
-    c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\base\model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
-      warnings.warn("Maximum Likelihood optimization failed to "
 
 
                                           SARIMAX Results                                      
@@ -307,22 +300,12 @@ plt.legend()
 plt.show()
 ```
 
-    c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py:836: ValueWarning: No supported index is available. Prediction results will be given with an integer index beginning at `start`.
-      return get_prediction_index(
-    
-
-
 
 ![png](images/sarima_example_9_1.png)
-    
-
 
+As the prei
+    
 
-```python
-# forec_temp = pd.DataFrame(forecast.predicted_mean)
-# forec_temp.index = forecast_index
-# pd.DataFrame(pd.DataFrame(decomposition.seasonal[test.index]).values + forec_temp.values).plot()
-```
 
 ## 5. Model Diagnostics
 

content/posts/finance/stock_prediction/SARIMA/sarima_example.md

@@ -251,13 +251,6 @@ results = sarima_model.fit()
 print(results.summary())
 ```
 
-    c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.
-      self._init_dates(dates, freq)
-    c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.
-      self._init_dates(dates, freq)
-    c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\base\model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
-      warnings.warn("Maximum Likelihood optimization failed to "
-    
 
                                           SARIMAX Results                                      
     ===========================================================================================
@@ -289,6 +282,7 @@ print(results.summary())
     Warnings:
     [1] Covariance matrix calculated using the outer product of gradients (complex-step).
 
+--- 
 
 
 ```python

public/index.json

@@ -704,15 +704,7 @@ <h2 id="4-sarima-model-implementation">4. SARIMA Model Implementation</h2>
 </span></span><span style="display:flex;"><span>results <span style="color:#f92672">=</span> sarima_model<span style="color:#f92672">.</span>fit()
 </span></span><span style="display:flex;"><span>
 </span></span><span style="display:flex;"><span>print(results<span style="color:#f92672">.</span>summary())
-</span></span></code></pre></div><pre><code>c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.
-  self._init_dates(dates, freq)
-c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.
-  self._init_dates(dates, freq)
-c:\Users\stefa\anaconda3\lib\site-packages\statsmodels\base\model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
-  warnings.warn(&quot;Maximum Likelihood optimization failed to &quot;
-
-
-                                      SARIMAX Results                                      
+</span></span></code></pre></div><pre><code>                                      SARIMAX Results                                      
 ===========================================================================================
 Dep. Variable:                               Close   No. Observations:                  412
 Model:             SARIMAX(2, 1, 2)x(2, 2, [1], 8)   Log Likelihood               -1073.473