WesternPower-Smartmeter

The notebook DataPrep.ipynb makes a csv file suitible for training models

Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
client		client
images		images
inference_server		inference_server
.gitignore		.gitignore
Boosted_Tree_Models .ipynb		Boosted_Tree_Models .ipynb
Boosted_Tree_Models.ipynb		Boosted_Tree_Models.ipynb
DataPrep.ipynb		DataPrep.ipynb
Dockerfile		Dockerfile
Keras Model.ipynb		Keras Model.ipynb
KerasModel2.ipynb		KerasModel2.ipynb
README.md		README.md
Tpot-model.ipynb		Tpot-model.ipynb
WesternPower-Smartmeter.Rproj		WesternPower-Smartmeter.Rproj
clr_callback.py		clr_callback.py
hello.py		hello.py
keras_multi_input.py		keras_multi_input.py
keras_multiinput.ipynb		keras_multiinput.ipynb
lstm_cnn.ipynb		lstm_cnn.ipynb
lstm_cnn.py		lstm_cnn.py
new-fastai-acron-prediction.ipynb		new-fastai-acron-prediction.ipynb
process-data.R		process-data.R
pyproject.toml		pyproject.toml
uv.lock		uv.lock
xgboost-tpot-anlsysis.py		xgboost-tpot-anlsysis.py

Provide feedback