Created ARIMA model #100
Created ARIMA model #100
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stages of training arima : - intially just on date and close - combining with lstm - updating data to include days , lags and other features and include while training Current RMSE : 4.67
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As time series analysis was time consuming , I would appreciate if you would label it as level3 |
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@rohitinu6 , please let me know if any further changes are needed. Otherwise, I would appreciate it if you could merge the PR. |
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@DarshAgrawal14 Please link the issue using keywords. (fixes/closes..) You can find the detailed info about the same here: Thanks & regards. |
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@Mayureshd-18 I added the 'closes' keyword along with issue number .if anything else , let me know. |
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@rohitinu6 ,The pull request was submitted 4 days ago and received approval from @Mayureshd-18 day before yesterday. Could you kindly provide an update on the cause of the delay? |
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can you add the Labels |
Mayureshd-18
added
gssoc-ext
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Just add the appropriate level label and then I can merge it |
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@Mayureshd-18 ,the label given in the issue is 2 but I asking for level 3 because, doing time series analysis was time consuming .The major part of the project was that i added additional features such as moving averages which i found by learning stock prediction and dividing dates into peices in order to notice the days which is important for both share prices estimation and time series analysis . general time series analysis include taking dataset , creating model with best p , d , q order and other deep learning steps. but the steps i mentioned is what that makes the model better |
Created ARIMA model
Fixed issue : #41
Closes #41
stages of training arima :
Current RMSE : 4.67
i couldnt upload the model and scaler files due to space constraints but by running ARIMA_V2.py , the respective files will be created automatically
Darsh Agrawal GSSoC 24 extd contributor