➕ Declare more private methods

Author: EssamWisam

src/encoders/frequency_encoding/frequency_encoding.jl

@@ -1,5 +1,7 @@
 
 """
+**Private method.**
+
 Fit an encoder that encodes the categorical values in the specified
 categorical columns with their (normalized or raw) frequencies of occurrence in the dataset.
 
@@ -43,6 +45,8 @@ function frequency_encoder_fit(
 end
 
 """
+**Private method.**
+
 Encode the levels of a categorical variable in a given table with their (normalized or raw) frequencies of occurrence in the dataset.
 
 # Arguments

src/encoders/ordinal_encoding/ordinal_encoding.jl

@@ -1,5 +1,7 @@
 
 """
+**Private method.**
+
 Fit an encoder to encode the levels of categorical variables in a given table as integers (ordered arbitrarily).
 
 # Arguments
@@ -42,6 +44,8 @@ end
 
 
 """
+**Private method.**
+
 Encode the levels of a categorical variable in a given table as integers.
 
 # Arguments

src/encoders/target_encoding/target_encoding.jl

@@ -106,6 +106,8 @@ end
 
 
 """
+**Private method.**
+
     target_encoder_fit(X, y, features=[]; ignore=true, ordered_factor=false, λ = 1.0, m=0)
 
 Fit a target encoder on table X with target y by computing the necessary statistics for every categorical column.
@@ -220,6 +222,8 @@ end
 
 
 """
+**Private method.**
+
     target_encoder_transform(X, cache)
 
 Transform given data with fitted target encoder cache.

src/transformers/cardinality_reducer/cardinality_reducer.jl

@@ -2,6 +2,8 @@
 include("errors.jl")
 
 """
+**Private method.**
+
 Fit a transformer that maps any level of a categorical column that occurs with
 frequency < `min_frequency` into a new level (e.g., "Other"). This is useful when some categorical columns have
 high cardinality and many levels are infrequent. This assumes that the categorical columns have raw
@@ -105,6 +107,8 @@ end
 
 
 """
+**Private method.**
+
 Apply a fitted cardinality reducer to a table given the output of `cardinality_reducer_fit`
 
 # Arguments