How do i correctly predict the humidity values?












0















I have the following input:



startDate = "2013-01-01"
endDate = "2013-01-01"
knownTimestamps = ['2013-01-01 00:00','2013-01-01 01:00','2013-01-01 02:00','2013-01-01 03:00','2013-01-01 04:00',
'2013-01-01 05:00','2013-01-01 06:00','2013-01-01 08:00','2013-01-01 10:00','2013-01-01 11:00',
'2013-01-01 12:00','2013-01-01 13:00','2013-01-01 16:00','2013-01-01 17:00','2013-01-01 18:00',
'2013-01-01 19:00','2013-01-01 20:00','2013-01-01 21:00','2013-01-01 23:00']
humidity = ['0.62','0.64','0.62','0.63','0.63','0.64','0.63','0.64','0.48','0.46','0.45','0.44','0.46','0.47','0.48','0.49','0.51','0.52','0.52']
timestamps = ['2013-01-01 07:00','2013-01-01 09:00','2013-01-01 14:00','2013-01-01 15:00','2013-01-01 22:00']


And I am using following function to predict the humidity values using AR model in python.



from statsmodels.tsa.arima_model import ARIMA
def predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps):
data_prediction = pd.DataFrame({'knownTimestamps': knownTimestamps,'humidity': humidity})
print(data_prediction.head(10))
history = [float(x) for x in data_prediction.humidity]
predictions =
test = timestamps
for t in range(len(test)):
model = ARIMA(history, order=(2,2,0))
model_fit = model.fit(disp=0)
output = model_fit.forecast()
yhat = output[0]
predictions.append(float(yhat))
obs = test[t]
history.append(float(obs))
print(predictions)
return predictions


The model predict the same value of humidity for the values in time stamp list.



res = predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps) 
print(res)


output = [0.5287247355700563, 0.5287247355700563, 0.5287247355700563,
0.5287247355700563, 0.5287247355700563]


Can someone tell me where I am wrong?










share|improve this question





























    0















    I have the following input:



    startDate = "2013-01-01"
    endDate = "2013-01-01"
    knownTimestamps = ['2013-01-01 00:00','2013-01-01 01:00','2013-01-01 02:00','2013-01-01 03:00','2013-01-01 04:00',
    '2013-01-01 05:00','2013-01-01 06:00','2013-01-01 08:00','2013-01-01 10:00','2013-01-01 11:00',
    '2013-01-01 12:00','2013-01-01 13:00','2013-01-01 16:00','2013-01-01 17:00','2013-01-01 18:00',
    '2013-01-01 19:00','2013-01-01 20:00','2013-01-01 21:00','2013-01-01 23:00']
    humidity = ['0.62','0.64','0.62','0.63','0.63','0.64','0.63','0.64','0.48','0.46','0.45','0.44','0.46','0.47','0.48','0.49','0.51','0.52','0.52']
    timestamps = ['2013-01-01 07:00','2013-01-01 09:00','2013-01-01 14:00','2013-01-01 15:00','2013-01-01 22:00']


    And I am using following function to predict the humidity values using AR model in python.



    from statsmodels.tsa.arima_model import ARIMA
    def predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps):
    data_prediction = pd.DataFrame({'knownTimestamps': knownTimestamps,'humidity': humidity})
    print(data_prediction.head(10))
    history = [float(x) for x in data_prediction.humidity]
    predictions =
    test = timestamps
    for t in range(len(test)):
    model = ARIMA(history, order=(2,2,0))
    model_fit = model.fit(disp=0)
    output = model_fit.forecast()
    yhat = output[0]
    predictions.append(float(yhat))
    obs = test[t]
    history.append(float(obs))
    print(predictions)
    return predictions


    The model predict the same value of humidity for the values in time stamp list.



    res = predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps) 
    print(res)


    output = [0.5287247355700563, 0.5287247355700563, 0.5287247355700563,
    0.5287247355700563, 0.5287247355700563]


    Can someone tell me where I am wrong?










    share|improve this question



























      0












      0








      0








      I have the following input:



      startDate = "2013-01-01"
      endDate = "2013-01-01"
      knownTimestamps = ['2013-01-01 00:00','2013-01-01 01:00','2013-01-01 02:00','2013-01-01 03:00','2013-01-01 04:00',
      '2013-01-01 05:00','2013-01-01 06:00','2013-01-01 08:00','2013-01-01 10:00','2013-01-01 11:00',
      '2013-01-01 12:00','2013-01-01 13:00','2013-01-01 16:00','2013-01-01 17:00','2013-01-01 18:00',
      '2013-01-01 19:00','2013-01-01 20:00','2013-01-01 21:00','2013-01-01 23:00']
      humidity = ['0.62','0.64','0.62','0.63','0.63','0.64','0.63','0.64','0.48','0.46','0.45','0.44','0.46','0.47','0.48','0.49','0.51','0.52','0.52']
      timestamps = ['2013-01-01 07:00','2013-01-01 09:00','2013-01-01 14:00','2013-01-01 15:00','2013-01-01 22:00']


      And I am using following function to predict the humidity values using AR model in python.



      from statsmodels.tsa.arima_model import ARIMA
      def predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps):
      data_prediction = pd.DataFrame({'knownTimestamps': knownTimestamps,'humidity': humidity})
      print(data_prediction.head(10))
      history = [float(x) for x in data_prediction.humidity]
      predictions =
      test = timestamps
      for t in range(len(test)):
      model = ARIMA(history, order=(2,2,0))
      model_fit = model.fit(disp=0)
      output = model_fit.forecast()
      yhat = output[0]
      predictions.append(float(yhat))
      obs = test[t]
      history.append(float(obs))
      print(predictions)
      return predictions


      The model predict the same value of humidity for the values in time stamp list.



      res = predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps) 
      print(res)


      output = [0.5287247355700563, 0.5287247355700563, 0.5287247355700563,
      0.5287247355700563, 0.5287247355700563]


      Can someone tell me where I am wrong?










      share|improve this question
















      I have the following input:



      startDate = "2013-01-01"
      endDate = "2013-01-01"
      knownTimestamps = ['2013-01-01 00:00','2013-01-01 01:00','2013-01-01 02:00','2013-01-01 03:00','2013-01-01 04:00',
      '2013-01-01 05:00','2013-01-01 06:00','2013-01-01 08:00','2013-01-01 10:00','2013-01-01 11:00',
      '2013-01-01 12:00','2013-01-01 13:00','2013-01-01 16:00','2013-01-01 17:00','2013-01-01 18:00',
      '2013-01-01 19:00','2013-01-01 20:00','2013-01-01 21:00','2013-01-01 23:00']
      humidity = ['0.62','0.64','0.62','0.63','0.63','0.64','0.63','0.64','0.48','0.46','0.45','0.44','0.46','0.47','0.48','0.49','0.51','0.52','0.52']
      timestamps = ['2013-01-01 07:00','2013-01-01 09:00','2013-01-01 14:00','2013-01-01 15:00','2013-01-01 22:00']


      And I am using following function to predict the humidity values using AR model in python.



      from statsmodels.tsa.arima_model import ARIMA
      def predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps):
      data_prediction = pd.DataFrame({'knownTimestamps': knownTimestamps,'humidity': humidity})
      print(data_prediction.head(10))
      history = [float(x) for x in data_prediction.humidity]
      predictions =
      test = timestamps
      for t in range(len(test)):
      model = ARIMA(history, order=(2,2,0))
      model_fit = model.fit(disp=0)
      output = model_fit.forecast()
      yhat = output[0]
      predictions.append(float(yhat))
      obs = test[t]
      history.append(float(obs))
      print(predictions)
      return predictions


      The model predict the same value of humidity for the values in time stamp list.



      res = predictMissingHumidity(startDate, endDate, knownTimestamps, humidity, timestamps) 
      print(res)


      output = [0.5287247355700563, 0.5287247355700563, 0.5287247355700563,
      0.5287247355700563, 0.5287247355700563]


      Can someone tell me where I am wrong?







      python time-series statsmodels arima






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 23 '18 at 11:51









      desertnaut

      17.1k63668




      17.1k63668










      asked Nov 23 '18 at 0:02









      CEXDSINGHCEXDSINGH

      135




      135
























          1 Answer
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          0














          You are not updating your history. Presumably, this is the site where most of your code comes from



          https://machinelearningmastery.com/arima-for-time-series-forecasting-with-python/



          There you can see how, on line 23, the history is updated and used for the forecast at the next step on the test set:



          history.append(obs)





          share|improve this answer
























          • It didnt worked. I added these two lines. obs = test[t]; history.append(obs)

            – CEXDSINGH
            Nov 23 '18 at 0:17













          • your test variable contains timestamps while your history contains floats. You should fix that too.

            – Phoenix87
            Nov 23 '18 at 0:22











          • casted it to float. history.append(float(obs)) Still doesn't work

            – CEXDSINGH
            Nov 23 '18 at 0:37













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          1 Answer
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          active

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          active

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          active

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          0














          You are not updating your history. Presumably, this is the site where most of your code comes from



          https://machinelearningmastery.com/arima-for-time-series-forecasting-with-python/



          There you can see how, on line 23, the history is updated and used for the forecast at the next step on the test set:



          history.append(obs)





          share|improve this answer
























          • It didnt worked. I added these two lines. obs = test[t]; history.append(obs)

            – CEXDSINGH
            Nov 23 '18 at 0:17













          • your test variable contains timestamps while your history contains floats. You should fix that too.

            – Phoenix87
            Nov 23 '18 at 0:22











          • casted it to float. history.append(float(obs)) Still doesn't work

            – CEXDSINGH
            Nov 23 '18 at 0:37


















          0














          You are not updating your history. Presumably, this is the site where most of your code comes from



          https://machinelearningmastery.com/arima-for-time-series-forecasting-with-python/



          There you can see how, on line 23, the history is updated and used for the forecast at the next step on the test set:



          history.append(obs)





          share|improve this answer
























          • It didnt worked. I added these two lines. obs = test[t]; history.append(obs)

            – CEXDSINGH
            Nov 23 '18 at 0:17













          • your test variable contains timestamps while your history contains floats. You should fix that too.

            – Phoenix87
            Nov 23 '18 at 0:22











          • casted it to float. history.append(float(obs)) Still doesn't work

            – CEXDSINGH
            Nov 23 '18 at 0:37
















          0












          0








          0







          You are not updating your history. Presumably, this is the site where most of your code comes from



          https://machinelearningmastery.com/arima-for-time-series-forecasting-with-python/



          There you can see how, on line 23, the history is updated and used for the forecast at the next step on the test set:



          history.append(obs)





          share|improve this answer













          You are not updating your history. Presumably, this is the site where most of your code comes from



          https://machinelearningmastery.com/arima-for-time-series-forecasting-with-python/



          There you can see how, on line 23, the history is updated and used for the forecast at the next step on the test set:



          history.append(obs)






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 23 '18 at 0:13









          Phoenix87Phoenix87

          241312




          241312













          • It didnt worked. I added these two lines. obs = test[t]; history.append(obs)

            – CEXDSINGH
            Nov 23 '18 at 0:17













          • your test variable contains timestamps while your history contains floats. You should fix that too.

            – Phoenix87
            Nov 23 '18 at 0:22











          • casted it to float. history.append(float(obs)) Still doesn't work

            – CEXDSINGH
            Nov 23 '18 at 0:37





















          • It didnt worked. I added these two lines. obs = test[t]; history.append(obs)

            – CEXDSINGH
            Nov 23 '18 at 0:17













          • your test variable contains timestamps while your history contains floats. You should fix that too.

            – Phoenix87
            Nov 23 '18 at 0:22











          • casted it to float. history.append(float(obs)) Still doesn't work

            – CEXDSINGH
            Nov 23 '18 at 0:37



















          It didnt worked. I added these two lines. obs = test[t]; history.append(obs)

          – CEXDSINGH
          Nov 23 '18 at 0:17







          It didnt worked. I added these two lines. obs = test[t]; history.append(obs)

          – CEXDSINGH
          Nov 23 '18 at 0:17















          your test variable contains timestamps while your history contains floats. You should fix that too.

          – Phoenix87
          Nov 23 '18 at 0:22





          your test variable contains timestamps while your history contains floats. You should fix that too.

          – Phoenix87
          Nov 23 '18 at 0:22













          casted it to float. history.append(float(obs)) Still doesn't work

          – CEXDSINGH
          Nov 23 '18 at 0:37







          casted it to float. history.append(float(obs)) Still doesn't work

          – CEXDSINGH
          Nov 23 '18 at 0:37




















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