diff --git a/FUNCTIONS.md b/FUNCTIONS.md
index ea99d18961a484..b1abe8da6bfa79 100644
--- a/FUNCTIONS.md
+++ b/FUNCTIONS.md
@@ -127,7 +127,7 @@ Fills null values using a defined fit function
 
 Argument | Accepts | Description
 --- | --- | ---
-mode | *string* | *no help available*  
+mode | *string* | The algorithm to use for fitting the series to the target. One of: average, nearest, none, scale  
 
 #### .hide()
 Hide the series by default
diff --git a/fit_functions/average.js b/fit_functions/average.js
index 48ff3333989f77..5a320f77fbe769 100644
--- a/fit_functions/average.js
+++ b/fit_functions/average.js
@@ -6,8 +6,6 @@ var _ = require('lodash');
 
 module.exports = function (dataTuples, targetTuples) {
 
-  console.log(dataTuples);
-
   // Phase 1: Downsample
   // We nessecarily won't well match the dataSource here as we don't know how much data
   // they had when creating their own average
@@ -48,10 +46,7 @@ module.exports = function (dataTuples, targetTuples) {
       if (isNaN(resultValues[i])) {
         if (i === 0) {
           // If our first number is NaN, intialize from dataTuples;
-          console.log('here');
-          console.log(dataTuples);
           previousRealNumber = dataTuples[0][1];
-          console.log('there');
         }
         naNCount++;
       } else {
diff --git a/series_functions/fit.js b/series_functions/fit.js
index 65c3d89b4fcb74..c5722791f5a8dc 100644
--- a/series_functions/fit.js
+++ b/series_functions/fit.js
@@ -13,7 +13,8 @@ module.exports = new Chainable('fit', {
     },
     {
       name: 'mode',
-      types: ['string']
+      types: ['string'],
+      help: 'The algorithm to use for fitting the series to the target. One of: ' + _.keys(fitFunctions).join(', ')
     }
   ],
   help: 'Fills null values using a defined fit function',