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Model Comparison Support in tensorboard_plugin_fairness_indicators
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...ysis/addons/fairness/frontend/fairness-tensorboard-container/demo/eval_compare_index.html
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| <!DOCTYPE html> | ||
| <!-- | ||
| Copyright 2019 Google LLC | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| https://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| --> | ||
| <meta charset="utf-8"> | ||
| <html> | ||
| <head> | ||
| </head> | ||
| <body> | ||
| <fairness-tensorboard-container></fairness-tensorboard-container> | ||
| </body> | ||
| </html> |
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...alysis/addons/fairness/frontend/fairness-tensorboard-container/demo/eval_compare_index.js
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,94 @@ | ||
| /** | ||
| * Copyright 2019 Google LLC | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * https://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| (() => { | ||
| const createSliceMetrics = () => { | ||
| let result = { | ||
| 'post_export_metrics/example_count': | ||
| {'doubleValue': Math.floor(Math.random() * 200 + 1000)}, | ||
| 'totalWeightedExamples': | ||
| {'doubleValue': Math.floor(Math.random() * 200 + 1000)}, | ||
| }; | ||
| const metrics = [ | ||
| 'accuracy', | ||
| 'post_export_metrics/[email protected]', | ||
| 'post_export_metrics/[email protected]', | ||
| 'post_export_metrics/[email protected]', | ||
| 'post_export_metrics/[email protected]', | ||
| 'post_export_metrics/[email protected]', | ||
| 'post_export_metrics/[email protected]', | ||
| ]; | ||
| metrics.forEach(metric => { | ||
| let value = Math.random() * 0.7 + 0.15; | ||
| result[metric] = { | ||
| 'boundedValue': { | ||
| 'lowerBound': value - 0.1, | ||
| 'upperBound': value + 0.1, | ||
| 'value': value, | ||
| 'methodology': 'POISSON_BOOTSTRAP' | ||
| } | ||
| }; | ||
| }); | ||
| return result; | ||
| }; | ||
|
|
||
| const SLICES = [ | ||
| 'Overall', | ||
| 'Sex:Male', | ||
| 'Sex:Female', | ||
| 'Sex:Transgender', | ||
| 'Race:asian', | ||
| 'Race:latino', | ||
| 'Race:black', | ||
| 'Race:white', | ||
| 'Religion:atheist', | ||
| 'Religion:buddhist', | ||
| 'Religion:christian', | ||
| 'Religion:hindu', | ||
| 'Religion:jewish', | ||
| ]; | ||
|
|
||
| const input1 = SLICES.map((slice) => { | ||
| return { | ||
| 'slice': slice, | ||
| 'sliceValue': slice.split(':')[1] || 'Overall', | ||
| 'metrics': createSliceMetrics(), | ||
| }; | ||
| }); | ||
|
|
||
| const input2 = SLICES.map((slice) => { | ||
| return { | ||
| 'slice': slice, | ||
| 'sliceValue': slice.split(':')[1] || 'Overall', | ||
| 'metrics': createSliceMetrics(), | ||
| }; | ||
| }); | ||
|
|
||
| const element = | ||
| document.getElementsByTagName('fairness-tensorboard-container')[0]; | ||
| element.selectedEvaluationRun_ = '1'; | ||
| element.selectedEvaluationRunCompare_ = '2'; | ||
| element.evaluationRuns_ = ['1', '2', '3']; | ||
| element.hideSelectEvalRunDropDown_ = false; | ||
|
|
||
| element.slicingMetrics_ = input1; | ||
| element.slicingMetricsCompare_ = input2; | ||
|
|
||
| let container = element.shadowRoot.querySelector('fairness-nb-container'); | ||
| container.shadowRoot.querySelector('#model-comparison').checked = true; | ||
| container.evalName = 'base'; | ||
| container.evalNameCompare = 'compare'; | ||
| })(); |
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