undraft sklearn

notebooks/noj_book/sklearn_reference.clj

@@ -10,11 +10,17 @@
    [noj-book.utils.render-tools-sklearn]
    [scicloj.sklearn-clj.ml]))
 
+;;## Sklearn model reference
 
+;;Below we find all sklearn models with their parameters and the original documentation.
+;;
+;;The parameters are given as Clojure keys in kebap-case. As the document texts are 
+;;imported from python they refer to the python spelling of the parameter. 
+;;
+;;But the translation between the two should be obvious.
 
-;;## Sklearn model reference - DRAFT 🛠
 
-;;## Example: logistic regression
+;;Example: logistic regression
 
 (def ds (dst/tensor->dataset [[0 0 0] [1 1 1] [2 2 2]]))
 
@@ -66,14 +72,6 @@
 
 
 
-;;Below all models are listed with their parameters and the original documentation.
-;;
-;;The parameters are given as Clojure keys in kebap-case. As the document texts are 
-;;imported from python they refer to the python spelling of the parameter. 
-;;
-;;But the translation between the two should be obvious.
-
-
 
 ;;## :sklearn.classification models
 ^:kindly/hide-code