(adaptive-logistic-regression num-categories num-features & {:as options})
Returns the adaptive logistic regression algorithm.
Returns the adaptive logistic regression algorithm.
(auc-evaluator keyword)
Returns the AUC evaluator for the given keyword.
Returns the AUC evaluator for the given keyword.
(best-model algorithm)
Returns the best model of the adaptive logistic regression algorithm.
Returns the best model of the adaptive logistic regression algorithm.
(classify-seq model vectors)
Classify all vectors
using the model
.
Classify all `vectors` using the `model`.
(index-labels labels)
Returns a hash map of the sorted labels to their indexes.
Returns a hash map of the sorted labels to their indexes.
(prior keyword & [arg])
Returns the prior for the given keyword.
Returns the prior for the given keyword.
(read-adaptive-logistic-regression filename)
Read the adaptive logistic regression model from filename
.
Read the adaptive logistic regression model from `filename`.
(read-model filename class)
Read the model of class
to filename
.
Read the model of `class` to `filename`.
(read-online-logistic-regression filename)
Read the online logistic regression model from filename
.
Read the online logistic regression model from `filename`.
(train-seq model vectors)
Train all vectors
using the model
.
Train all `vectors` using the `model`.
(write-model filename model)
Write the model
to filename
.
Write the `model` to `filename`.
cljdoc is a website building & hosting documentation for Clojure/Script libraries
× close