✨ Better style

Author: EssamWisam

docs/src/assets/themes/documenter-light.css

@@ -10943,7 +10943,8 @@ pre:hover .copy-button {
 .docstring > header {
   display: flex;
   flex-grow: 1;
-  align-items: stretch;
+  gap: 1rem;
+  align-items: center;
   padding: 0.5rem 0.75rem;
   background-color: #f5f5f5;
   box-shadow: 0 1px 2px rgba(10, 10, 10, 0.1);

docs/src/transformers/all_transformers.md

@@ -1,27 +1,7 @@
-| Transformer | Brief Description | 
-|:----------:|:----------:|
-| [Standardizer](@ref) | Transforming columns of numerical features by standardization | 
-| [BoxCoxTransformer](@ref) | Transforming columns of numerical features by BoxCox transformation | 
-| [UnivariateBoxCoxTransformer](@ref) | Apply BoxCox transformation given a single vector | 
-| [InteractionTransformer](@ref) | Transforming columns of numerical features to create new interaction features |
-| [UnivariateDiscretizer](@ref) | Discretize a continuous vector into an ordered factor | 
-| [FillImputer](@ref) | Fill missing values of features belonging to any scientific type | 
-| [UnivariateTimeTypeToContinuous](@ref) | Transform a vector of time type into continuous type | 
-| [OneHotEncoder](@ref) | Encode categorical variables into one-hot vectors | 
-| [ContinuousEncoder](@ref) | Adds type casting functionality to OnehotEncoder | 
-| [OrdinalEncoder](@ref) | Encode categorical variables into ordered integers | 
-| [FrequencyEncoder](@ref) | Encode categorical variables into their normalized or unormalized frequencies | 
-| [TargetEncoder](@ref) | Encode categorical variables into relevant target statistics | 
-| [DummyEncoder](@ref) | Encodes by comparing each level to the reference level, intercept being the cell mean of the reference group | 
-| [SumEncoder](@ref) | Encodes by comparing each level to the reference level, intercept being the grand mean | 
-| [HelmertEncoder](@ref) | Encodes by comparing levels of a variable with the mean of the subsequent levels of the variable
-| [ForwardDifferenceEncoder](@ref) | Encodes by comparing adjacent levels of a variable (each level minus the next level)
-| [ContrastEncoder](@ref) | Allows defining a custom contrast encoder via a contrast matrix | 
-| [HypothesisEncoder](@ref) | Allows defining a custom contrast encoder via a hypothesis matrix | 
-| [EntityEmbedder](@ref) | Encode categorical variables into dense embedding vectors |
-| [CardinalityReducer](@ref) | Reduce cardinality of high cardinality categorical features by grouping infrequent categories |
-| [MissingnessEncoder](@ref) | Encode missing values of categorical features into new values |
 
+```@meta
+CollapsedDocStrings = true
+```
 
 ```@docs; canonical = false
 MLJTransforms.Standardizer