model-remediation
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tensorflow
Model Remediation is a library that provides solutions for machine learning practitioners working to create and train models in a way that reduces or eliminates user harm resulting from underlying per...
Getting the following error during installation process: !pip install --upgrade tensorflow-model-remediation !pip install --upgrade fairness-indicators ERROR: Cannot install fairness-indicators==0.1.1, fairness-indicators==0.1.2, fairness-indicators==0.23.0, fairness-indicators==0.23.1, fairness-indicators==0.24.0, fairness-indicators==0.25.0, fairness-indicators==0.26.0, fairness-indicators==0.26.1, fairness-indicators==0.27.0, fairness-indicators==0.28.0, fairness-indicators==0.29.0, fairness-indicators==0.30.0...
Infer_schema always creates FixedLenFeatures and populates their shape with the shape from the dataset's element_spec. FixedLenFeatures require a shape, but in the element_spec that shape is often None, I assume...
Datasets where a column relevant to FDW (specifically, a column to slice on) contains empty values throw errors in one of two places: - If the dataset feature map contains...
The current implementation of TF Dataset to TF Examples List uses a lot of RAM and runs very slowly on large datasets. In [this colab](https://colab.research.google.com/drive/12SNg529v0WiMBY8LktuSIvurFV5RUYsC#scrollTo=dpD3CjebGGHA&line=1&uniqifier=1), the CelebA dataset, as processed...
The tf_dataset_to_tf_examples_list function in fdw utils [here](https://github.com/tensorflow/model-remediation/blob/e36bc4e497cf731d66a27b8266b9b47cf8618648/tensorflow_model_remediation/experimental/fair_data_reweighting/utils.py#L157) can only handle datasets where each element is just a neat single-layer dict of format `{feature_name: tf.Tensor}`. The easiest way to generate one...
**Project Description:** Fair data reweighting is a simple and effective pre-processing to ensure model fairness. The goal of this project is to design and develop an open source implementation of...
**Project Description:** Min-max fairness is a natural and desirable notion of subgroup fairness. The goal of this project is to develop open source implementations of recent [research](https://arxiv.org/abs/2006.06879) into label efficient...
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Model Remediation is a library that provides solutions for machine learning practitioners working to create and train models in a way that reduces or eliminates user harm resulting from underlying per...