Skip to main content

Object oriented optimization

Project description


## objopt
This library provides object oriented optimization. This allows...

1. using theoretic values (such as the strong convexity parameter)
2. object-oriented definitions, both for models and optimization algorithms. This allows...
* interacting with the optimization as an object. Want to compute some
value partway through? Want to change the values as time goes on?
* getting results intermediately (or in the presence of a keyboard
interrept)
* having callbacks, etc

A typical example:

``` python
def get_stats():
# ...

model = Model()
opt = SGD(model.loss)

data = []
for _ in range(10):
opt.step(steps=10)
data += [get_stats(model)]
```

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

objopt-0.2.0.tar.gz (4.3 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page