diff --git a/release-packaging/HelpSource/Classes/FluidPCA.schelp b/release-packaging/HelpSource/Classes/FluidPCA.schelp
index 3b897fb..e7b43e2 100644
--- a/release-packaging/HelpSource/Classes/FluidPCA.schelp
+++ b/release-packaging/HelpSource/Classes/FluidPCA.schelp
@@ -36,7 +36,7 @@ Source data, or the DataSet name
 ARGUMENT:: destDataSet
 Destination data, or the DataSet name
 ARGUMENT:: action
-Run when done. The variance is passed as an argument, aka the fidelity of the new representation: a value near 1.0 means a higher fidelity to the original.
+Run when done. The fraction of accounted variance is passed as an argument, aka the fidelity of the new representation: a value near 1.0 means a higher fidelity to the original.
 
 METHOD:: fitTransform
 link::Classes/FluidPCA#fit:: and link::Classes/FluidPCA#transform:: in a single pass
@@ -45,7 +45,7 @@ Source data, or the DataSet name
 ARGUMENT:: destDataSet
 Destination data, or the DataSet name
 ARGUMENT:: action
-Run when done. The variance is passed as an argument, aka the fidelity of the new representation: a value near 1.0 means a higher fidelity to the original.
+Run when done. The fraction of accounted variance is passed as an argument, aka the fidelity of the new representation: a value near 1.0 means a higher fidelity to the original.
 
 METHOD:: transformPoint
 Given a trained model, transform the data point in a link::Classes/Buffer:: and write to an output
diff --git a/release-packaging/HelpSource/Classes/FluidUMAP.schelp b/release-packaging/HelpSource/Classes/FluidUMAP.schelp
index 16774e0..dce0210 100644
--- a/release-packaging/HelpSource/Classes/FluidUMAP.schelp
+++ b/release-packaging/HelpSource/Classes/FluidUMAP.schelp
@@ -25,8 +25,6 @@ ARGUMENT:: iterations
 The number of iterations that the algorithm will go through to optimise the new representation
 ARGUMENT:: learnRate
 The learning rate of the algorithm, aka how much of the error it uses to estimate the next iteration.
-ARGUMENT:: batchSize
-The training batch size.
 
 INSTANCEMETHODS::