Virtual Beach Machine Learning

Prediction Modeling and Assessment Toolkit

create a conda environment called vbflow
- conda create -c conda-forge --name vbflow python=3.9 jupyterlab scikit-learn=1 matplotlib pandas
activate the environment you just made by typing
- conda activate vbflow

download and unzip (or clone) this repo and navigate the CLI to the vbflow directory (cd )
run the following code in the terminal/anaconda prompt:
- jupyter lab

Name		Name	Last commit message	Last commit date
Latest commit History 237 Commits
dev_notebooks		dev_notebooks
images		images
sample_data		sample_data
.gitignore		.gitignore
README.md		README.md
demo1-Copy1.ipynb		demo1-Copy1.ipynb
demo1.ipynb		demo1.ipynb
demo2.ipynb		demo2.ipynb
demo3.ipynb		demo3.ipynb
environment.yml		environment.yml
missing_val_transformer.py		missing_val_transformer.py
multipipe.ipynb		multipipe.ipynb
nonlinear_stacker.py		nonlinear_stacker.py
pi_test.ipynb		pi_test.ipynb
predict.ipynb		predict.ipynb
project_cv_results.json		project_cv_results.json
project_prediction_results.json		project_prediction_results.json
summaryXy.json		summaryXy.json
vb_cross_validator.py		vb_cross_validator.py
vb_estimators.py		vb_estimators.py
vb_helper.py		vb_helper.py
vb_novelty.py		vb_novelty.py
vb_pi.py		vb_pi.py
vb_plotter.py		vb_plotter.py
vb_summary.py		vb_summary.py
vb_transformers.py		vb_transformers.py
y_yhat_plots.ipynb		y_yhat_plots.ipynb