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mahout.sgd


*adaptive-logistic-defaults*clj


adaptive-logistic-regressionclj

(adaptive-logistic-regression num-categories num-features & {:as options})

Returns the adaptive logistic regression algorithm.

Returns the adaptive logistic regression algorithm.
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auc-evaluatorclj

(auc-evaluator keyword)

Returns the AUC evaluator for the given keyword.

Returns the AUC evaluator for the given keyword.
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best-modelclj

(best-model algorithm)

Returns the best model of the adaptive logistic regression algorithm.

Returns the best model of the adaptive logistic regression algorithm.
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classify-seqclj

(classify-seq model vectors)

Classify all vectors using the model.

Classify all `vectors` using the `model`.
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index-labelsclj

(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.
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priorclj

(prior keyword & [arg])

Returns the prior for the given keyword.

Returns the prior for the given keyword.
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read-adaptive-logistic-regressionclj

(read-adaptive-logistic-regression filename)

Read the adaptive logistic regression model from filename.

Read the adaptive logistic regression model from `filename`.
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read-modelclj

(read-model filename class)

Read the model of class to filename.

Read the model of `class` to `filename`.
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read-online-logistic-regressionclj

(read-online-logistic-regression filename)

Read the online logistic regression model from filename.

Read the online logistic regression model from `filename`.
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train-seqclj

(train-seq model vectors)

Train all vectors using the model.

Train all `vectors` using the `model`.
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write-modelclj

(write-model filename model)

Write the model to filename.

Write the `model` to `filename`.
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