Python client for Yhat (http://yhathq.com/)

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License: BSD

Author: Greg Lamp

Tags yhat, scikits, numpy, pandas

Project description

This is the connection to the Yhat API. If you’d like to read more, visit our docs.

Table of Contents:

Quickstart

You can download the example here , or clone the git repo.

$ git clone git@github.com:yhat/yhat-examples.git
$ cd beer-recommender

Insert your APIKEY and USERNAME and run the script.

$ python recommender.py
Deploy? (y/N): y
# {"status": "success"}

Installation

Using pip:

$ pip install --upgrade yhat

From source:

$ git clone git@github.com:yhat/yhat-client.git
$ cd yhat-client
$ python setup.py install

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Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for emches from gravatar.com emches Avatar for glamp from gravatar.com glamp Avatar for rosskipp from gravatar.com rosskipp Avatar for yhat-circle from gravatar.com yhat-circle

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: BSD

Author: Greg Lamp

Tags yhat, scikits, numpy, pandas


Release history Release notifications | RSS feed

1.10.0

1.9.17

1.9.16

1.9.15

1.9.14

1.9.13

1.9.12

1.9.11

1.9.10

1.9.9

1.9.8

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.0

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

This version

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.2

1.6.1

1.6.0

1.5.0

1.4.1

1.4.0

1.3.8

1.3.7

1.3.6

1.3.5

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.6

1.1.5

1.1.4

1.1.3

1.1.0

1.0.0

0.9.0

0.8.1

0.7.5

0.7.4

0.7.3

0.7.1

0.7.0

0.6.18

0.6.17

0.6.16

0.6.15

0.6.14

0.6.13

0.6.12

0.6.11

0.6.10

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.3

0.6.1

0.6.0

0.5.1

0.5.0

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.1

0.3.0

0.2.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.8

0.0.7

0.0.4

0.0.2

0.0.1

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