GitHub - DavidRavnsborg/Predictive-Modeling-on-Gait-Data: Final results and Python code for an experiment applying predictive modeling, using LSTMs, to time-series gait data. The "Resampling and Epochs test" shows the results of the first iteration of optimizing model parameters two at a time. "Batch Size and Neurons test" shows the results of the second test, optimizing the remaining two parameters.

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Final results and Python code for an experiment applying predictive modeling, using LSTMs, to time-series gait data. The "Resampling and Epochs test" shows the results of the first iteration of optimizing model parameters two at a time. "Batch Size and Neurons test" shows the results of the second test, optimizing the remaining two parameters.

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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
.spyproject		.spyproject
Batch Size and Neurons test		Batch Size and Neurons test
Resampling and Epochs test		Resampling and Epochs test
__pycache__		__pycache__
.gitattributes		.gitattributes
Supervised Learning of Gait Data for Predicting Gait Patterns.pdf		Supervised Learning of Gait Data for Predicting Gait Patterns.pdf
best_fit_results.png		best_fit_results.png
david240520160001-singleLegVertForceSeries.csv		david240520160001-singleLegVertForceSeries.csv
gaitLSTM.py		gaitLSTM.py