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WIP : Long short term memory prediction models for Time series Data #2721

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Bishalghimire1997
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This Model uses the LSTM (Type of Recurring neural network ) algorithm for predicting the Consumption and Production active power times series data.

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codecov bot commented Jul 26, 2024

Codecov Report

Attention: Patch coverage is 26.16148% with 1637 lines in your changes missing coverage. Please review.

Additional details and impacted files
@@              Coverage Diff              @@
##             develop    #2721      +/-   ##
=============================================
- Coverage      56.66%   55.93%   -0.73%     
- Complexity      8926     9146     +220     
=============================================
  Files           2167     2220      +53     
  Lines          91959    94176    +2217     
  Branches        6831     6974     +143     
=============================================
+ Hits           52103    52671     +568     
- Misses         37981    39600    +1619     
- Partials        1875     1905      +30     

@parapluplu
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Very interesting and nice pull request! Do you have benchmarks values?

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@pooran-c pooran-c left a comment

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reviewed

* @return a {@link Prediction} object
*/
public static Prediction from(ValueRange valueRange, Interval interval, ZonedDateTime time, Integer... values) {
return from(valueRange, buildMapDuoDecimus(time, values));
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Interval is not checked here!

* @return a {@link Prediction} object
*/
public static Prediction from(ValueRange valueRange, Interval interval, ZonedDateTime time, Integer... values) {
return from(valueRange, buildMapDuoDecimus(time, values));
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Need to discuss this "duodecimus" thing... it breaks a lot of assumptions (and Javadocs) if we suddenly have 5-minute predictions...

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4 participants