tech.v3.libs.tribuo
Bindings to make working with tribuo more straight forward when using datasets.
+;; Classification
+
+tech.v3.dataset.tribuo-test> (def ds (classification-example-ds 10000))
+#'tech.v3.dataset.tribuo-test/ds
+tech.v3.dataset.tribuo-test> (def model (tribuo/train-classification (org.tribuo.classification.xgboost.XGBoostClassificationTrainer. 6) ds :label))
+#'tech.v3.dataset.tribuo-test/model
+tech.v3.dataset.tribuo-test> (ds/head (tribuo/predict-classification model (ds/remove-columns ds [:label])))
+_unnamed [5 3]:
+
+| :prediction | red | green |
+|-------------|-----------:|-----------:|
+| red | 0.92524981 | 0.07475022 |
+| green | 0.07464883 | 0.92535114 |
+| green | 0.07464883 | 0.92535114 |
+| red | 0.92525917 | 0.07474083 |
+| green | 0.07464883 | 0.92535114 |
+
+
+ ;; Regression
+tech.v3.dataset.tribuo-test> (def ds (ds/->dataset "test/data/winequality-red.csv" {:separator \;}))
+#'tech.v3.dataset.tribuo-test/ds
+tech.v3.dataset.tribuo-test> (def model (tribuo/train-regression (org.tribuo.regression.xgboost.XGBoostRegressionTrainer. 50) ds "quality"))
+#'tech.v3.dataset.tribuo-test/model
+tech.v3.dataset.tribuo-test> (ds/head (tribuo/predict-regression model (ds/remove-columns ds ["quality"])))
+_unnamed [5 1]:
+
+| :prediction |
+|------------:|
+| 5.01974726 |
+| 5.02164841 |
+| 5.22696543 |
+| 5.79519272 |
+| 5.01974726 |
+classification-predictions->dataset
(classification-predictions->dataset predictions)Given the list of predictions from a classification model return a dataset
+that will include probability distributions when possible. The actual prediction
+will be in the :prediction column.
make-classification-datasource
(make-classification-datasource ds)(make-classification-datasource ds inf-col-name)Make a single label classification datasource.
+make-regression-datasource
(make-regression-datasource ds)(make-regression-datasource ds inf-col-name)Make a regression datasource from a dataset.
+predict-classification
(predict-classification model ds)Use this model to predict every row of this dataset returning a new dataset containing
+at least a :prediction column. If this classifier is capable of predicting probability
+distributions those will be returned as per-label as separate columns.
predict-regression
(predict-regression model ds)Use a regression model to predict each column of the dataset returning a dataset with
+at least one column named :prediction.
train-classification
(train-classification trainer ds & [inf-col-name])Train a single label classification model. Returns the model.
+train-regression
(train-regression trainer ds & [inf-col-name])Train a regression model on a dataset returning the model.
+