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Commits on Oct 9, 2019

• Updating the vulcanized js.

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• Pass down the full slice string and enabling the click event.

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• Added input_extractor for extracting labels, features, and example_weights from a tf.Example.

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Commits on Oct 8, 2019

• Add support for serializing with new MetricKey and PlotKey types.

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Commits on Oct 4, 2019

• Updated to use tags to distinguish different types of models.

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Commits on Oct 3, 2019

• Updated slice key extractor to support passing features natively in dict.

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Commits on Oct 1, 2019

• Update the vulcanized_tfma.js

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• Use d3.js to draw the graph.

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Commits on Sep 29, 2019

• Add support for multiple eval_saved_models to be passed when creating default

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• Allow EvalConfig to be used when creating default extractors, evaluators, and

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Commits on Sep 26, 2019

• Temporarily suppress pytype error for PY2-only metaclass syntax.

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• Restructured config to include input_data_specs, model_specs, output_data_specs,

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Commits on Sep 25, 2019

• noop

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• Opensource build_docs.py

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Commits on Sep 24, 2019

• Enable 2.0 support using compat.v1.

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• Updates to TFT/TFMA for move of TFT beam/shared lib to TFX_BSL.

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Commits on Sep 23, 2019

• Updated to catch ModuleNotFound errors when removing tf.contrib.learn references since the hasattr(tf, 'contrib') check triggers a lazy loader which actually attempts to load the module.

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• Rollback of change to remove tf.contrib.learn references and instead check for existence of tf.contrib.learn module.

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Commits on Sep 22, 2019

• Initial setup for new metrics directory and types.

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Commits on Sep 20, 2019

• Remove remaining tf.contrib.learn references that are no longer supported by TF.

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• Allow the client of tfma-plot to set subtitles for plots in flat view using a map with tfma.PlotTypes as key.

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Commits on Sep 19, 2019

• Relax the duck typing check for confusion matrix at threashold.

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• Fix incorrect type annotations.

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Commits on Sep 13, 2019

• CodeHealth: Addressing a few TODOs now that Beam 2.14 is dependned upon by TFMA.

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Commits on Sep 12, 2019

• no-op.

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• Add unit test for fairness-nb-container.

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Commits on Sep 11, 2019

• Support to change k_anonymization_count value using EvalConfig.

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• Internal clean up

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• Support range outside of [0, 1] for calibration plot and prediction distribution.

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• Change MultiClassKey to SubKey so that it can be generally usable for all metric sub-types.

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Commits on Sep 10, 2019

• Build Python API for fairness indicator to render metrics under colab environment.

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• Automated rollback of commit 379c7d3

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• Ignore the non-batch fetched results. Note: this is a temporary fix regarding to non-batch features. Official supports will be added in keras world.

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• Update metric keys / values to be encapsulated in a message within in a single repeated field.

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• Small bug fix in FeatureExtractor to avoid modifying passed in FPL in DoFn.

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