4578689396

Build Type

github

Committed by GitHub

Commit Message

Merge ddb425c30 into 6a993cb7a

Pull Request Pull Request #436: Model training overhaul: SNGP model, uncertainty visualization, and custom embedding support

Run Details

462 of 1163 branches covered (39.72%)

Branch coverage included in aggregate %.

20 of 628 new or added lines in 27 files covered. (3.18%)

76 existing lines in 5 files now uncovered.

3248 of 5431 relevant lines covered (59.8%)

543.49 hits per line

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0.0

/frontend/src/Project/EditControls/CellTypeControls/TrainingUI/TrainingPlot.js

import Grid from '@mui/material/Grid';
import { useSelector } from '@xstate/react';
import equal from 'fast-deep-equal';
import Plot from 'react-plotly.js';
import { useTraining } from '../../../ProjectContext';

function TrainingPlot() {
  const training = useTraining();
  const trainLogs = useSelector(training, (state) => state.context.trainLogs, equal);
  const valLogs = useSelector(training, (state) => state.context.valLogs, equal);
  const epochs = trainLogs.map((_, i) => i);

  const width = window.innerWidth * 0.4;
  const height = window.innerHeight * 0.62;

  return (
    <Grid item>
      <Plot
        data={[
          {
            x: epochs,
            y: valLogs,
            mode: 'lines',
            name: 'Validation',
            line: {
              color: 'rgba(0, 166, 255, 1)',
            },
          },
          {
            x: epochs,
            y: trainLogs,
            mode: 'lines',
            name: 'Training',
            line: {
              color: 'rgba(0, 255, 166, 1)',
            },
          },
        ]}
        layout={{
          width: width,
          height: height,
          margin: { l: 30, r: 20, b: 30, t: 20, pad: 5 },
          xaxis: { range: [0, epochs.length], automargin: true, title: 'Epoch' },
          yaxis: {
            range: [0, Math.max(Math.max(...trainLogs), Math.max(...valLogs)) * 1.1],
            automargin: true,
            title: 'Softmax Loss',
          },
          legend: {
            xanchor: 'right',
          },
        }}
        config={{
          displaylogo: false,
          modeBarButtonsToRemove: ['autoScale2d', 'zoomIn2d', 'zoomOut2d'],
          toImageButtonOptions: {
            format: 'svg',
          },
        }}
      />
    </Grid>
  );
}

export default TrainingPlot;

1	import Grid from '@mui/material/Grid';
2	import { useSelector } from '@xstate/react';
3	import equal from 'fast-deep-equal';
4	import Plot from 'react-plotly.js';
5	import { useTraining } from '../../../ProjectContext';
6
7	function TrainingPlot() {
8	const training = useTraining();	×
9	const trainLogs = useSelector(training, (state) => state.context.trainLogs, equal);	×
10	const valLogs = useSelector(training, (state) => state.context.valLogs, equal);	×
11	const epochs = trainLogs.map((_, i) => i);	×
12
NEW 13	const width = window.innerWidth * 0.4;	×
NEW 14	const height = window.innerHeight * 0.62;	×
15
UNCOV 16	return (	×
17	<Grid item>
18	<Plot
19	data={[
20	{
21	x: epochs,
22	y: valLogs,
23	mode: 'lines',
24	name: 'Validation',
25	line: {
26	color: 'rgba(0, 166, 255, 1)',
27	},
28	},
29	{
30	x: epochs,
31	y: trainLogs,
32	mode: 'lines',
33	name: 'Training',
34	line: {
35	color: 'rgba(0, 255, 166, 1)',
36	},
37	},
38	]}
39	layout={{
40	width: width,
41	height: height,
42	margin: { l: 30, r: 20, b: 30, t: 20, pad: 5 },
43	xaxis: { range: [0, epochs.length], automargin: true, title: 'Epoch' },
44	yaxis: {
45	range: [0, Math.max(Math.max(...trainLogs), Math.max(...valLogs)) * 1.1],
46	automargin: true,
47	title: 'Softmax Loss',
48	},
49	legend: {
50	xanchor: 'right',
51	},
52	}}
53	config={{
54	displaylogo: false,
55	modeBarButtonsToRemove: ['autoScale2d', 'zoomIn2d', 'zoomOut2d'],
56	toImageButtonOptions: {
57	format: 'svg',
58	},
59	}}
60	/>
61	</Grid>
62	);
63	}
64
65	export default TrainingPlot;

vanvalenlab / deepcell-label / 4578689396

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