WIP : Long short term memory prediction models for Time series Data #2721
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…into feature/LstmModel
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## develop #2721 +/- ##
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- Coverage 56.66% 25.84% -30.82%
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Files 2167 262 -1905
Lines 91959 6680 -85279
Branches 6831 1025 -5806
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- Hits 52103 1726 -50377
+ Misses 37981 4875 -33106
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Very interesting and nice pull request! Do you have benchmarks values? |
…into feature/LstmModel
sfeilmeier
requested changes
Sep 30, 2024
| * @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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This Model uses the LSTM (Type of Recurring neural network ) algorithm for predicting the Consumption and Production active power times series data.