revert testing changes

src/components/MachineLearning/MLFileDebugView.tsx

@@ -88,7 +88,6 @@ export default function MLFileDebugView(props: MLFileDebugViewProps) {
         const loadFile = async () => {
             // TODO: go through worker for these apis, to not include ml code in main bundle
             const imageBitmap = await createImageBitmap(props.file);
-            console.log(imageBitmap);
             const faceDetections = await blazeFaceDetectionService.detectFaces(
                 imageBitmap
             );

src/components/MachineLearning/MlDebug.tsx

@@ -1,4 +1,3 @@
-/* eslint-disable @typescript-eslint/no-unused-vars */
 import React, { useState, useEffect, useContext, ChangeEvent } from 'react';
 import { getData, LS_KEYS } from 'utils/storage/localStorage';
 import { useRouter } from 'next/router';
@@ -486,6 +485,44 @@ export default function MLDebug() {
             <MLFileDebugView file={debugFile} />
 
             <hr />
+            <Row>Hdbscan MST: </Row>
+            <div
+                id="treeWrapper"
+                style={{
+                    width: '100%',
+                    height: '50em',
+                    backgroundColor: 'white',
+                }}>
+                {mstD3Tree && (
+                    <Tree
+                        data={mstD3Tree}
+                        orientation={'vertical'}
+                        nodeSize={nodeSize}
+                        zoom={0.25}
+                        renderCustomNodeElement={(rd3tProps) =>
+                            renderForeignObjectNode({
+                                ...rd3tProps,
+                                foreignObjectProps,
+                            })
+                        }
+                    />
+                )}
+            </div>
+
+            <hr />
+            <Row>TSNE of embeddings: </Row>
+            <Row>
+                <div
+                    id="tsneWrapper"
+                    style={{
+                        width: '840px',
+                        height: '840px',
+                        backgroundColor: 'white',
+                        overflow: 'auto',
+                    }}>
+                    {mlResult.tsne && <TSNEPlot mlResult={mlResult} />}
+                </div>
+            </Row>
         </Container>
     );
 }

src/constants/machineLearning/config.ts

@@ -2,7 +2,7 @@ import { JobConfig } from 'types/common/job';
 import { MLSearchConfig, MLSyncConfig } from 'types/machineLearning';
 
 export const DEFAULT_ML_SYNC_JOB_CONFIG: JobConfig = {
-    intervalSec: 1,
+    intervalSec: 30,
     // TODO: finalize this after seeing effects on and from machine sleep
     maxItervalSec: 960,
     backoffMultiplier: 2,