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-- reverting version change
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docs/history.md

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- Added feature to use custom sampler in the training dataloader
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- Updated documentation and added a new tutorial for imbalanced classification
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0.3.0 (2021-03-18)
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0.3.0 (2021-03-02)
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------------------
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- Fixed a bug on inference
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0.4.0 (2021-03-18)
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------------------
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- Added AutoInt Model
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- Added Mixture Density Networks
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- Refactored the classes to separate backbones from the head of the models
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- Changed the saving and loading model to work for custom parameters that you pass in `fit`
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pytorch_tabular/__init__.py

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__author__ = """Manu Joseph"""
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__email__ = "manujosephv@gmail.com"
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__version__ = "1.0.0"
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__version__ = "0.3.0"
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from . import models
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from .tabular_datamodule import TabularDatamodule

setup.cfg

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[bumpversion]
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current_version = 1.0.0
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current_version = 0.3.0
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commit = True
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tag = False
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parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<build>\d+))?

setup.py

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test_suite="tests",
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tests_require=test_requirements,
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url="https://github.com/manujosephv/pytorch_tabular",
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version="1.0.0",
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version="0.3.0",
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zip_safe=False,
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)

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