torchtable

Torchtable is a library for handling tabular datasets in PyTorch. It is heavily inspired by torchtext and uses a similar API but without some of the limitations (e.g. only one field per column). Torchtable aims to be simple to use and easily extensible. It provides sensible defaults while allowing the user to define their own custom pipelines, putting all of this behind an intuitive interface.

Installation

Install via pip.

$ pip install torchtable

Documentation

Documentation is a work in progress, but the current docs can be read here. In addition, you can read the notebooks in the examples directory or dev_nb directory to learn more.

Usage

Torchtable uses a declarative API similar to torchtext. Here is an example of how you might handle an imaginary dataset where you are supposed to predict the price of some product.

>>> train = TabularDataset.from_csv('data/train.csv',
...    fields={'seller_id': CategoricalField(min_freq=3),
...            'timestamp': [DayofWeekField(), HourField()],
...            'price': NumericalField(fill_missing="median", is_target=True)
...    })
...

See the examples directory for more examples.

TODO

Add more models
Implement default field selection
Implement text field/operations
Implement swap noise
Implement input/output validation

Metadata

Release files for torchtable 0.1.0

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Source distribution for torchtable 0.1.0
File	Size	Uploaded	Provenance	Actions
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File	Interpreter	ABI	Platform	Actions Reset
torchtable-0.1.0-py3-none-any.whl 24.7 kB Dec 23, 2018 Without provenance	Python 3	none	any	Details for torchtable-0.1.0-py3-none-any.whl

Total release size: 42.8 kB

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Size	24.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`29b5768fb6ee3195eea3dc8e23d3b072e17fff2d69aa1e2309b8cc1ccbbfb4b1`
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Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7`

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torchtable 0.1.0