This is the cl-id3 Reference Manual, version 1.0, generated automatically by Declt version 4.0 beta 2 "William Riker" on Sun Dec 15 05:02:00 2024 GMT+0.
The main system appears first, followed by any subsystem dependency.
cl-id3A Common Lisp implementation of the ID3 machine learning algorithm by R. Quinlan.
Øyvin Halfdan Thuv
BSD-2-Clause
1.0
defpackage.lisp (file).
cl-id3.lisp (file).
Files are sorted by type and then listed depth-first from the systems components trees.
cl-id3/cl-id3.lispdefpackage.lisp (file).
cl-id3 (system).
*test-function* (special variable).
build-id3-classifier (function).
classify (function).
id3 (function).
attribute-value-counts (function).
entropy (function).
info-gain (function).
most-common-attribute-value (function).
most-info-gaining-attribute (function).
plist-keys (function).
subset (function).
Packages are listed by definition order.
induction-of-decision-treesid3
common-lisp.
*test-function* (special variable).
build-id3-classifier (function).
classify (function).
id3 (function).
attribute-value-counts (function).
entropy (function).
info-gain (function).
most-common-attribute-value (function).
most-info-gaining-attribute (function).
plist-keys (function).
subset (function).
Definitions are sorted by export status, category, package, and then by lexicographic order.
Used for doing all value comparisons
Returns a function that classifies an instance using the decision tree
Classify instance given decision tree.
Induce tree for deciding the target-attribute (only for ’attrs’, if given).
Returns an alist of attribute values and their count (or just the values).
A number between 0 and 1 that descr. the hetereogenity of examples with regard to the target-attribute.
Calculates the expected reduction in entropy by classifying on ’attribute’.
Return the most common value of ’attr’ in ’examples’.
Return the attribute that best separates examples.
Collect all possible plist keys from list-of-plists.
Return a list of the ’examples’ that have ’value’ for ’attribute’.
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