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WIP : Long short term memory prediction models for Time series Data #2721
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…into feature/LstmModel
Codecov ReportAttention: Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## develop #2721 +/- ##
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- Coverage 56.66% 55.93% -0.73%
- Complexity 8926 9146 +220
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Files 2167 2220 +53
Lines 91959 94176 +2217
Branches 6831 6974 +143
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+ Hits 52103 52671 +568
- Misses 37981 39600 +1619
- Partials 1875 1905 +30 |
Very interesting and nice pull request! Do you have benchmarks values? |
…into feature/LstmModel
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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...
This Model uses the LSTM (Type of Recurring neural network ) algorithm for predicting the Consumption and Production active power times series data.