Fixed typos in documentation string. (#7782)

* Migrate stale management probot to Github action

* Migrate stale management probot to Github action

* Fixed typos in documentation string.

* Fixed typos in documentation string.

---------

Co-authored-by: Matthew Soulanille <msoulanille@google.com>
Co-authored-by: Linchenn <40653845+Linchenn@users.noreply.github.com>
Co-authored-by: Ping Yu <4018+pyu10055@users.noreply.github.com>

tfjs-converter/src/executor/graph_executor.ts

@@ -452,7 +452,7 @@ export class GraphExecutor implements FunctionExecutor {
    * @param isFunctionExecution Optional. Flag for executing a function.
    * @param tensorArrayMap Optional, global TensorArray map by id. Used for
    * function execution.
-   * @param tensorArrayMap Optinal global TensorList map by id. Used for
+   * @param tensorArrayMap Optional global TensorList map by id. Used for
    * function execution.
    */
   private async _executeAsync(

tfjs-converter/src/executor/graph_model.ts

@@ -319,7 +319,7 @@ export class GraphModel<ModelURL extends Url = string | io.IOHandler> implements
    * Execute the inference for the input tensors.
    *
    * @param input The input tensors, when there is single input for the model,
-   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,
+   * inputs param should be a `tf.Tensor`. For models with multiple inputs,
    * inputs params should be in either `tf.Tensor`[] if the input order is
    * fixed, or otherwise NamedTensorMap format.
    *

tfjs-converter/src/executor/tensor_array.ts

@@ -240,7 +240,7 @@ export class TensorArray {
 
   /**
    * Scatter the values of a Tensor in specific indices of a TensorArray.
-   * @param indices nummber[] values in [0, max_value). If the
+   * @param indices number[] values in [0, max_value). If the
    *    TensorArray is not dynamic, max_value=size().
    * @param tensor Tensor input tensor.
    */

tfjs-converter/src/operations/executors/hash_table_executor_test.ts

@@ -262,7 +262,7 @@ describe('hash_table', () => {
         const before = memory().numTensors;
         try {
           await executeOp(node, {input3, input5}, context, resourceManager);
-          fail('Shoudl fail, succeed unexpectedly.');
+          fail('Should fail, succeed unexpectedly.');
         } catch (err) {
           expect(err).toMatch(/Expect key dtype/);
         }

tfjs-tfdf/BUILD.bazel

@@ -48,7 +48,7 @@ tfjs_bundle(
     ],
 )
 
-# Copy ouput files to dist/.
+# Copy output files to dist/.
 copy_ts_library_to_dist(
     name = "copy_src_to_dist",
     srcs = [

tfjs-tfdf/README.md

@@ -1,6 +1,6 @@
 # Tensorflow Decision Forests support for Tensorflow.js
 
-This package enables users to run arbitary Tensorflow Decision Forests models
+This package enables users to run arbitrary Tensorflow Decision Forests models
 on the web that are converted using tfjs-converter.
 Users can load a TFDF model from a URL, use TFJS tensors to set
 the model's input data, run inference, and get the output back in TFJS tensors.

tfjs-vis/demos/mnist/index.html

@@ -94,7 +94,7 @@ <h2>The Visor</h2>
           <li>
             <strong>`</strong> (backtick): Shows or hides the visor</li>
           <li>
-            <strong>~</strong> (tilde, shift+backtick): Toggles betweeen the two sizes the visor supports</li>
+            <strong>~</strong> (tilde, shift+backtick): Toggles between the two sizes the visor supports</li>
         </ul>
         The API allows you to disable (unbind) these keyboard shortcuts.
       </p>
@@ -317,7 +317,7 @@ <h3>Customizing training charts.</h3>
     <section>
       <h2>Evaluating Our Model</h2>
       <p>
-        Now that our model is trained we should evalute its performance. For a classification task like this one we can
+        Now that our model is trained we should evaluate its performance. For a classification task like this one we can
         use the `perClassAccuracy`
         and `confusionMatrix` functions. These are demonstrated below.
       </p>

tfjs-vis/src/components/surface.tsx

@@ -27,7 +27,7 @@ interface SurfaceProps extends SurfaceInfoStrict {
 }
 
 /**
- * A surface is container for visualizations and other rendered thigns.
+ * A surface is container for visualizations and other rendered things.
  * It consists of a containing DOM Element, a label and an empty drawArea.
  */
 export class SurfaceComponent extends Component<SurfaceProps> {

tfjs-vis/src/components/visor.tsx

@@ -28,7 +28,7 @@ interface VisorProps {
   // objects that allow configuration of the surface. The actual surface
   // instance is managed by the visor.
   surfaceList: SurfaceInfoStrict[];
-  // Whether to inialize the visor to the open or closed state. Optional.
+  // Whether to initialize the visor to the open or closed state. Optional.
   startOpen?: boolean;
   // A ref handler
   ref?: (r: VisorComponent) => void;

tfjs-vis/src/types.ts

@@ -141,11 +141,11 @@ export interface VisOptions {
  */
 export interface XYPlotOptions extends VisOptions {
   /**
-   * domain of the x axis. Overriden by zoomToFit
+   * domain of the x axis. Overridden by zoomToFit
    */
   xAxisDomain?: [number, number];
   /**
-   * domain of the y axis. Overriden by zoomToFit
+   * domain of the y axis. Overridden by zoomToFit
    */
   yAxisDomain?: [number, number];
   /**