Fix LSTM training continuity for cloned nets #951
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Fixes BrainJS#949 Update `src/recurrent.ts` to ensure cloned LSTM nets continue training from the point where the original stopped. * Add `fromJSON` method to properly restore the training state. * Modify `train` method to account for the state of the cloned net. * Update `trainPattern` method to consider the previous training state of the cloned net. * Adjust `initialize` method to handle state restoration for cloned nets. * Ensure `runInputs` method maintains continuity in training for cloned nets. Add a test case in `src/recurrent/lstm.test.ts` to verify that training a cloned LSTM net continues evolving from the point where the original stopped.
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Fixes #949
Update
src/recurrent.tsto ensure cloned LSTM nets continue training from the point where the original stopped.fromJSONmethod to properly restore the training state.trainmethod to account for the state of the cloned net.trainPatternmethod to consider the previous training state of the cloned net.initializemethod to handle state restoration for cloned nets.runInputsmethod maintains continuity in training for cloned nets.Add a test case in
src/recurrent/lstm.test.tsto verify that training a cloned LSTM net continues evolving from the point where the original stopped.