Simple Co-Occurrence based tabulation of X vs Y, where X and Y are two Vecs in a given dataset. Uses histogram of given resolution in X and Y. Handles numerical/categorical data and missing values. Supports observation weights.

h2o.tabulate(data, x, y, weights_column = NULL, nbins_x = 50, nbins_y = 50)

data | An H2OFrame object. |
---|---|

x | predictor column |

y | response column |

weights_column | (optional) observation weights column |

nbins_x | number of bins for predictor column |

nbins_y | number of bins for response column |

Returns two TwoDimTables of 3 columns each count_table: X Y counts response_table: X meanY counts

# NOT RUN { library(h2o) h2o.init() df <- as.h2o(iris) tab <- h2o.tabulate(data = df, x = "Sepal.Length", y = "Petal.Width", weights_column = NULL, nbins_x = 10, nbins_y = 10) plot(tab) # }