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jindalshivam09tf-model-analysis-team
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Updating vulcanized template
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‎LICENSE

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same "printed page" as the copyright notice for easier
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identification within third-party archives.
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Copyright 2017, The TensorFlow Model Analysis Authors.
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Copyright [yyyy] [name of copyright owner]
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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limitations under the License.
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--------------------------------------------------------------------------------
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MIT
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The MIT License (MIT)
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Copyright (c) 2014-2015, Jon Schlinkert.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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--------------------------------------------------------------------------------
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BSD-3-Clause
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Copyright (c) 2016, Daniel Wirtz All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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* Neither the name of its author, nor the names of its contributors
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may be used to endorse or promote products derived from this software
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without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

‎tensorflow_model_analysis/addons/fairness/frontend/fairness-tensorboard-container/fairness-tensorboard-container-template.html

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slicing-metrics="[[slicingMetrics_]]">
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</fairness-nb-container>
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<div class="center" slot="center">
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<template is="dom-if" if="[[!slicingMetrics_ || !slicingMetrics_.length]]">
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<div class="no-data-warning">
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<h3>No fairness evaluation data was found.</h3>
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<p>Probable causes:</p>
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<ul>
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<li>You haven’t written any evaluation data to your event files.</li>
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<li>Tensorboard might be looking for your event files, please wait for few seconds.</li>
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<li>TensorBoard can’t find your event files.</li>
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<li>Selected evaluation run doesn't contain any fairness evaluation related data.</li>
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</ul>
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<template is="dom-if" if="[[!slicingMetrics_.length]]">
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<div class="no-data-warning">
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<h3>No fairness evaluation data was found.</h3>
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<p>Probable causes:</p>
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<ul>
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<li>You haven’t written any evaluation data to your event files.</li>
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<li>Tensorboard might be looking for your event files, please wait for few seconds.</li>
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<li>TensorBoard can’t find your event files.</li>
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<li>Selected evaluation run doesn't contain any fairness evaluation related data.</li>
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</ul>
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<p>
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If you’re new to using TensorBoard, and want to find out how to
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add data and set up your event files, check out the Fairness Indicators
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for Tensorboard
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<a
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href="https://www.tensorflow.org/tensorboard/fairness_indicators" target="_blank"
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>tutorial</a
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>
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and Fairness Indicators
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<a
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href="https://github.com/tensorflow/fairness-indicators/blob/master/README.md"
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target="_blank">README</a
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>.
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</p>
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<p>
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If you’re new to using TensorBoard, and want to find out how to
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add data and set up your event files, check out the Fairness Indicators
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for Tensorboard
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<a
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href="https://www.tensorflow.org/tensorboard/fairness_indicators" target="_blank"
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>tutorial</a
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>
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and Fairness Indicators
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<a
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href="https://github.com/tensorflow/fairness-indicators/blob/master/README.md"
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target="_blank">README</a
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>.
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</p>
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<p>
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If you think TensorBoard is configured properly, please see the section of the
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<a href="https://github.com/tensorflow/tensorboard/blob/master/README.md#my-tensorboard-isnt-showing-any-data-whats-wrong"
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target="_blank">README</a>
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devoted to missing data problems and consider filing an issue on GitHub.
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</p>
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</div>
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</template>
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</div>
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<p>
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If you think TensorBoard is configured properly, please see the section of the
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<a href="https://github.com/tensorflow/tensorboard/blob/master/README.md#my-tensorboard-isnt-showing-any-data-whats-wrong"
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target="_blank">README</a>
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devoted to missing data problems and consider filing an issue on GitHub.
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</p>
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</div>
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</template>
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</div>
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`;
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export {template};

‎tensorflow_model_analysis/addons/fairness/frontend/fairness-tensorboard-container/fairness-tensorboard-container.js

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* ]
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* @private {!Array<!Object>}
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*/
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slicingMetrics_: {type: Array, notify: true},
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slicingMetrics_: {type: Array, notify: true, value: []},
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};
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}
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