| ;; For a fully fleshed out library, see: | |
| ;; https://github.com/bigmlcom/sampling | |
| ;; ------------------------------------- | |
| ;; see http://ashenfad.blogspot.com/2011/06/single-pass-sampling-with-replacement.html | |
| (ns sample.replacement | |
| (:use [clojure.contrib.math :only [expt]])) | |
| (defn- choose [a b] |
| ;; For a fully fleshed out library, see: | |
| ;; https://github.com/bigmlcom/sampling | |
| ;; ------------------------------------- | |
| (ns sample.reservoir | |
| "Functions for sampling without replacement using a reservoir.") | |
| (defn create | |
| "Creates a sample reservoir." | |
| [reservoir-size] |
A sunburst visualization of a BigML decision tree built on the cover dataset.
The initial center circle represents the root of the tree. Each outer circle contains the children of the inner circle's nodes. The number of training instances captured by a node determine its arc length (or its size in radians).
Clicking on a node will zoom in to the subtree. After zooming in,
A sunburst visualization of a BigML decision tree built on the adult census dataset.
The initial center circle represents the root of the tree. Each outer circle contains the children of the inner circle's nodes. The number of training instances captured by a node determine its arc length (or its size in radians).
Clicking on a node will zoom in to the subtree. After zooming in,
A sunburst visualization of a BigML decision tree built on the iris dataset.
The initial center circle represents the root of the tree. Each outer circle contains the children of the inner circle's nodes. The number of training instances captured by a node determine its arc length (or its size in radians).
Clicking on a node will zoom in to the subtree. After zooming in,
A sunburst visualization of a BigML decision tree built on the Pima diabetes dataset.
The initial center circle represents the root of the tree. Each outer circle contains the children of the inner circle's nodes. The number of training instances captured by a node determine its arc length (or its size in radians).
Clicking on a node will zoom in to the subtree. After zooming in,
A sunburst visualization of a BigML decision tree built on the concrete compressive strength dataset.
The initial center circle represents the root of the tree. Each outer circle contains the children of the inner circle's nodes. The number of training instances captured by a node determine its arc length (or its size in radians).
Clicking on a node will zoom in to the subtree. After zooming in,
A sunburst visualization of a BigML decision tree built on the abalone dataset.
The initial center circle represents the root of the tree. Each outer circle contains the children of the inner circle's nodes. The number of training instances captured by a node determine its arc length (or its size in radians).
Clicking on a node will zoom in to the subtree. After zooming in,
A sunburst visualization of a BigML decision tree built on the SMS Spam dataset.
The model uses BigML's upcoming automatic text processing to find important words when separating the spam from the ham.
The initial center circle represents the root of the tree. Each outer circle contains the children of the inner circle's nodes. The number
A sunburst visualization of a BigML decision tree built on a dataset describing Titanic passengers and whether they survived.
The model uses BigML's upcoming automatic text processing to discover that passenger name honorifics (like "Mr.") are helpful for predicting survival.