Abstract discrete indicator.
Copyright: | 2017 David Monllao {@link http://www.davidmonllao.com} |
License: | http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later |
File Size: | 159 lines (5 kb) |
Included or required: | 0 times |
Referenced: | 0 times |
Includes or requires: | 0 files |
discrete:: (7 methods):
get_classes()
get_feature_headers()
should_be_displayed()
get_display_value()
get_display_style()
to_features()
validate_calculated_value()
get_classes() X-Ref |
Classes need to be defined so they can be converted internally to individual dataset features. return: string[] |
get_feature_headers() X-Ref |
Returns 1 feature header for each of the classes. return: string[] |
should_be_displayed($value, $subtype) X-Ref |
Whether the value should be displayed or not. param: float $value param: string $subtype return: bool |
get_display_value($value, $subtype = false) X-Ref |
Returns the value to display when the prediction is $value. param: float $value param: string $subtype return: string |
get_display_style($ignoredvalue, $ignoredsubtype) X-Ref |
get_display_style param: float $ignoredvalue param: string $ignoredsubtype return: int |
to_features($calculatedvalues) X-Ref |
From calculated values to dataset features. One column for each class. param: float[] $calculatedvalues return: float[] |
validate_calculated_value($calculatedvalue) X-Ref |
Validates the calculated value. param: float $calculatedvalue return: true |