Skip to main content

A library devloped under the project AMBHAS

Project description

Installing ambhas

Installing ambhas can be done by downloading source file (ambhas–<version>.tar.gz), and after unpacking issuing the command:

python setup.py install

This requires the usual Distutils options available.

Or, download the ambhas–<version>.tar.gz file and issue the command:

pip install /path/to/ambhas--<version>.tar.gz

Or, directly using the pip:

pip install ambhas

Usage

Import required modules:

import numpy as np
from ambhas.errlib import rmse, correlation

Generate some random numbers:

x = np.random.normal(size=100)
y = np.random.normal(size=100)
rmse(x,y)
correlation(x,y)

For using the copula, import copula:

import numpy as np
from ambhas.copula import Copula

Generate some random numbers:

x = np.random.normal(size=100)
y = np.random.normal(size=100)

Generate an instance of class copula:

foo = Copula(x, y, 'frank')

Now, generate some ensemble using this instance:

u,v = foo.generate(100)

Author

Sat Kumar Tomer satkumartomer at gmail dot com

Changes

0.1.0 * Initial version

0.1.1 * Minor corrections in setup.py files

License

Please read LICENSE.text available with the library. Download ========

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ambhas-0.3.0.tar.gz (26.8 kB view hashes)

Uploaded Source

Built Distribution

ambhas-0.3.0-py2.7.egg (46.9 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page