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rdemoUtils
H2O_tutorial_eeg_eyestate_NOPASS.ipynb
README.md
isax.R
rdemo.NOFEATURE.sciworkflow.R
rdemo.NOFEATURE.tk.steam.R
rdemo.VI.all.algos.R
rdemo.airlines.delay.large.R
rdemo.airlines.delay.weather.large.R
rdemo.big.join.R
rdemo.census.labor.violations.large.R
rdemo.chicago.crime.large.R
rdemo.citi.bike.large.R
rdemo.citi.bike.small.R
rdemo.cm.roc.R
rdemo.confusion.matrices.binomial.R
rdemo.coxph.R
rdemo.exec2.R
rdemo.gbm.R
rdemo.glm.uuid.R
rdemo.glrm.movielens.medium.R
rdemo.glrm.walking.gait.R
rdemo.imputation.R
rdemo.impute.R
rdemo.impute.large.R
rdemo.impute2.R
rdemo.interact.R
rdemo.lending.club.large.R
rdemo.not.equal.factor.R
rdemo.prcomp.R
rdemo.prep.airlines.R
rdemo.random.data.glm.R
rdemo.random.data.pca.large.R
rdemo.random.data.svd.large.R
rdemo.regression.modeling.R
rdemo.rf.balance.classes.R
rdemo.supervised.large.R
rdemo.tableau.R
rdemo.target_encode.R
rdemo.tk.cm.roc.R
rdemo.tutorial.eeg.eyestate.ipynb
rdemo.word2vec.craigslistjobtitles.R
rdemo.workflow.R

README.md

Running R Examples

Setting up Environment

To set up your R environment to run these examples the user will need to download and install the h2o package in R. The instructions for doing so are on the top level.

R Examples

Available Demos

  • Predict Airlines Delays - Uses historical airlines flight data to build multiple classification models to label any flight as either delayed or not delayed.

  • Predict Airlines Delays with Weather - Uses historical airlines flight and weather data and joins the two datasets into one large table, then builds multiple classification models to label any flight as either delayed or not delayed.

  • NYC Citibike Demand with Weather - Uses monthly bike ride data for the past two years to predict bike demand at each bike share station. Weather data is also incorporated to better predict bike usage.

  • Predict Bad Lending Club Loans - Uses Lending Club data to classify bad loans or loans where the user has been charged off or defaulted.

Corresponding Datasets

Running Examples from Command Line

  1. If necessary, edit the working directory for each script.
  2. Download the appropriate dataset and edit the dataset path in the R script if it is not located in your working directory.
  3. To run a R demo script, run R -f followed by the file. For example to run the airlines demo:
R -f airlines_delay.R

Running Examples from R

  1. If necessary, edit the working directory for each script.
  2. Download the appropriate dataset and edit the dataset path in the R script if it is not located in your working directory.
  3. To run a R demo script, open up the R script and execute the notebook line by line using Control+Return/Enter.