Implement Phase Space Reconstruction + LSTM prediction
Budget: $10 – $40 USD
Hello,
I need to implement Phase Space Reconstruction + LSTM prediction in python.
You can see (Phase Space Reconstruction + LSTM) in attached paper.
Phase Space Reconstruction can be used from SingleTakensEmbedding https://giotto-ai.github.io/gtda-docs/0.4.0/modules/generated/time_series/embedding/gtda.time_series.SingleTakensEmbedding.html
Example: https://giotto-ai.github.io/gtda-docs/latest/notebooks/time_series_forecasting.html#univariate-time-series-takensembedding-and-singletakensembedding
Dataset: Univariate time series (stock, price, weather, lorenz...) (see attachment)
Require: Python 3 (colab notebook), tensorflow, scikit-learn, etc,...
MSE, MAPE, RMSE, MAE for error.
I need to implement Phase Space Reconstruction + LSTM prediction in python.
You can see (Phase Space Reconstruction + LSTM) in attached paper.
Phase Space Reconstruction can be used from SingleTakensEmbedding https://giotto-ai.github.io/gtda-docs/0.4.0/modules/generated/time_series/embedding/gtda.time_series.SingleTakensEmbedding.html
Example: https://giotto-ai.github.io/gtda-docs/latest/notebooks/time_series_forecasting.html#univariate-time-series-takensembedding-and-singletakensembedding
Dataset: Univariate time series (stock, price, weather, lorenz...) (see attachment)
Require: Python 3 (colab notebook), tensorflow, scikit-learn, etc,...
MSE, MAPE, RMSE, MAE for error.