Mlvisualizationtools

Latest version: v0.7.4

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0.5.0

0.5.0a1

Bugfixes for datainterface when combined with animations.

All internal floats are locked to 6 digits to prevent internal rounding errors.

Keys look consistent across matplotlib, plotly, and plotly animations.

0.5.0a0

0.4

We are skipping straight to 0.4 because of major API changes that were not in the unreleased v0.3.
These API changes do not remove any functionality, but rename a lot of the core functions.
These changes will allow for easier integration of the new features we have planned, as well as support for ML libraries beyond tensorflow.

New Features:
- graph() - autopicks graph type and mode
- plotlyGraph() - autopicks graph mode
- matplotlibGraph() - autopicks graph mode

**Upgrading from 0.3.0 to 0.4.0.**

Breaking Changes:
- Major:
- Analytics:
- Tensorflow replaced by analyzeModel
- TensorflowRaw replaced by analyzeModelRaw

- Interfaces:
- TensorflowGrid replace by predictionGrid
- TensorflowAnimation replaced by pedictionAnimation
- Corresponding raw replacements
- 'Output' key is now customizable in interface calls

- Colorizers:
- Simple replaced by simple
- Binary replaced by binary
- 'Color' key is now customizable in colorizer calls

- Graphs:
- x, y, and anim params should no longer be passed to the graphs,
they are autodetected instead
- size key is now customizable

- DashModelVisualizer
- kagglenotebook param renamed to usetunneling



- Minor:
- Type enums moved into new file (types.py)

0.4.0

0.4.0rc0

Small updates to graphing commands for better library detection.

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