PrologMethods/Transformation/pca.md

@@ -12,7 +12,7 @@ An implementation of several strategies for principal components analysis (PCA),
 
 [links/resources](/PrologMethods/Transformation/pca#connected-linksresources)
 
-## **_pca/13_**
+## **_pca/9_**
 
 Apply Principal Component Analysis to the provided data set.
 
@@ -26,19 +26,19 @@ pca(  +integer, +string,
 ```
 
 ### Parameters
+
 | Name | Type | Description | Default |
 |------|------|-------------|---------|
 | scaleData | +integer(bool) | Whether or not to scale the data. | (0)false |
-| decompositionPolicy | +string | Decomposition policy to use: "exact", "randomized", "randomized-block-krylov", "quic" | exact |
+| decompositionPolicy | +string | Decomposition policy to use: "exact", "randomized", "randomized_block_krylov", "quic" | exact |
 | data | +matrix | Input dataset to perform PCA on. | - |
-| newDimension | +integer | Desired dimensionality of output dataset. If 0, no dimensionality reduction is performed. | 0 |
 | transformedData | -matrix | Matrix to put results of PCA into. | - |
 | eigenValues | -vector | Vector to put eigenvalues into. | - |
 | eigenVectors | -matrix | Matrix to put eigenvectors (loadings) into. | - |
 
 ---
 
-## **_pcaDimReduction/10_**
+## **_pcaDimReduction/8_**
 
 Use PCA for dimensionality reduction on the given dataset.
 
@@ -54,10 +54,11 @@ pcaDimReduction(  +integer, +string,
 ```
 
 ### Parameters
+
 | Name | Type | Description | Default |
 |------|------|-------------|---------|
 | scaleData | +integer(bool) | Whether or not to scale the data. | (0)false |
-| decompositionPolicy | +string | Decomposition policy to use: "exact", "randomized", "randomized-block-krylov", "quic" | exact |
+| decompositionPolicy | +string | Decomposition policy to use: "exact", "randomized", "randomized_block_krylov", "quic" | exact |
 | data | +matrix | Input dataset to perform PCA on. | - |
 | newDimension | +float | Desired dimensionality of output dataset. If 0, no dimensionality reduction is performed. | 0 |
 | transformedData | -matrix | Matrix to put results of PCA into. | - |
@@ -65,7 +66,7 @@ pcaDimReduction(  +integer, +string,
 
 ---
 
-## **_pcaVarianceDimReduction/10_**
+## **_pcaVarianceDimReduction/8_**
 
 Use PCA for dimensionality reduction on the given dataset.
 
@@ -83,10 +84,11 @@ pcaVarianceDimReduction(  +integer, +string,
 ```
 
 ### Parameters
+
 | Name | Type | Description | Default |
 |------|------|-------------|---------|
 | scaleData | +integer(bool) | Whether or not to scale the data. | (0)false |
-| decompositionPolicy | +string | Decomposition policy to use: "exact", "randomized", "randomized-block-krylov", "quic" | exact |
+| decompositionPolicy | +string | Decomposition policy to use: "exact", "randomized", "randomized_block_krylov", "quic" | exact |
 | data | +matrix | Input dataset to perform PCA on. | - |
 | varToRetaine | +float | Amount of variance to retain; should be between 0 and 1. If 1, all variance is retained. | 0 |
 | transformedData | -matrix | Matrix to put results of PCA into. | - |