clj-synapses.stats
Measure the difference between the values predicted by a neural network and the observed values.
(require '[clj-synapses.stats :as stats])
Calculate the root mean square error:
(stats/rmse
[[[0.0, 0.0, 1.0] [0.0, 0.0, 1.0]]
[[0.0, 0.0, 1.0] [0.0, 1.0, 1.0]]])
;;=> 0.7071067811865476
Calculate the score of the classification accuracy:
(stats/score
[[[0.0, 0.0, 1.0], [0.0, 0.1, 0.9]]
[[0.0, 1.0, 0.0], [0.8, 0.2, 0.0]]
[[1.0, 0.0, 0.0], [0.7, 0.1, 0.2]]
[[1.0, 0.0, 0.0], [0.3, 0.3, 0.4]]
[[0.0, 0.0, 1.0], [0.2, 0.2, 0.6]]])
;;=> 0.6
Measure the difference between the values predicted by a neural network and the observed values. ```clojure (require '[clj-synapses.stats :as stats]) ``` Calculate the root mean square error: ```clojure (stats/rmse [[[0.0, 0.0, 1.0] [0.0, 0.0, 1.0]] [[0.0, 0.0, 1.0] [0.0, 1.0, 1.0]]]) ;;=> 0.7071067811865476 ``` Calculate the score of the classification accuracy: ```clojure (stats/score [[[0.0, 0.0, 1.0], [0.0, 0.1, 0.9]] [[0.0, 1.0, 0.0], [0.8, 0.2, 0.0]] [[1.0, 0.0, 0.0], [0.7, 0.1, 0.2]] [[1.0, 0.0, 0.0], [0.3, 0.3, 0.4]] [[0.0, 0.0, 1.0], [0.2, 0.2, 0.6]]]) ;;=> 0.6 ```
rmseclj
(rmse exp-and-pred-vals)Returns the the standard deviation of the prediction errors (root-mean-square-error).
exp-and-pred-vals is a collection of pairs that contain the expected and predicted values.
(stats/rmse
[[[0.0, 0.0, 1.0] [0.0, 0.0, 1.0]]
[[0.0, 0.0, 1.0] [0.0, 1.0, 1.0]]])
;;=> 0.7071067811865476
Returns the the standard deviation of the prediction errors (root-mean-square-error). `exp-and-pred-vals` is a collection of pairs that contain the expected and predicted values. ```clojure (stats/rmse [[[0.0, 0.0, 1.0] [0.0, 0.0, 1.0]] [[0.0, 0.0, 1.0] [0.0, 1.0, 1.0]]]) ;;=> 0.7071067811865476 ```
scoreclj
(score exp-and-pred-vals)Returns the ratio of number of correct predictions to the total number of provided pairs.
For a prediction to be considered as correct, the index of its maximum expected value
needs to be the same with the index of its maximum predicted value.
exp-and-pred-vals is a collection of pairs that contain the expected and predicted values.
(stats/score
[[[0.0, 0.0, 1.0], [0.0, 0.1, 0.9]]
[[0.0, 1.0, 0.0], [0.8, 0.2, 0.0]]
[[1.0, 0.0, 0.0], [0.7, 0.1, 0.2]]
[[1.0, 0.0, 0.0], [0.3, 0.3, 0.4]]
[[0.0, 0.0, 1.0], [0.2, 0.2, 0.6]]])
;;=> 0.6
Returns the ratio of number of correct predictions to the total number of provided pairs. For a prediction to be considered as correct, the index of its maximum expected value needs to be the same with the index of its maximum predicted value. `exp-and-pred-vals` is a collection of pairs that contain the expected and predicted values. ```clojure (stats/score [[[0.0, 0.0, 1.0], [0.0, 0.1, 0.9]] [[0.0, 1.0, 0.0], [0.8, 0.2, 0.0]] [[1.0, 0.0, 0.0], [0.7, 0.1, 0.2]] [[1.0, 0.0, 0.0], [0.3, 0.3, 0.4]] [[0.0, 0.0, 1.0], [0.2, 0.2, 0.6]]]) ;;=> 0.6 ```
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