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CHANGELOG.md

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Changelog

We are moving release notes to GitHub releases feature

This file is now only for historical purposes. For an example see https://github.com/tensorflow/tfjs/releases/tag/tfjs-vis-v1.4.3

[1.0.0] 2019-03-06

Major version upgrade including a number of breaking changes.

Changed

All render.* functions now take a surface as their first parameter. This unifies the convention used in these functions and show.* functions.

In heatmap and confusionMatrix params, xLabels/yLabels has been renamed to xtickLabels/yTickLabels to more clearly distinguish it from the axis label (xLabel/yLabel).

Removed

show.confusionMatrix has been removed in favor of using render.confusionMatrix

[0.5.0] 2018-1-31

Added

Support for rendering heatmaps with render.heatmap.

Sourcemaps now include sourcesContent to improve editor experience, particularly for typescript users.

[0.4.0] 2018-12-07

Changed

confusionMatrix now shades the diagonal by default. The chart also has improved contrast between the text and the chart cells.

bugfixes for metrics.confusionMatrix on Safari

Improvements to chart rendering options to help prevent situations where the container div grows on each render if dimensions were not specified in code or constrained by css.

[0.3.0] 2018-11-06

Added

fontSize can now be passed into render.* methods zoomToFit and yAxisDomain are new options that linecharts and scatterplots take to allow finer control over the display of the yAxis xAxisDomain option added to scatterplots.

Changed

show.history and show.fitCallbacks now take an optional opts parameter. These allow passing configuration to the underlying charts as well as overriding which callbacks get generated by show.fitCallbacks.

show.history and show.fitCallbacks will now automatically group a metric with its corresponding validation metric and display them on the same chart. For example if you have ['acc', 'val_acc', 'loss', 'val_loss'] as your metrics, these will be rendered on two charts, one for the loss metrics and one for the accuracy metrics.