Skip to main content

This library performs transfer learning for time series classification between different data time series using a user-specified keras machine learning model architecture. Two transfer learning types are provided as options - fine-tuning a given number of layers, or re-using the pre-trained model weights as initialisation step. The output returns the f_score, accuracy, and training time.

Project description

The author of this package has not provided a project description

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

tl4sm_generic-0.3.1.3.tar.gz (5.6 kB view details)

Uploaded Source

File details

Details for the file tl4sm_generic-0.3.1.3.tar.gz.

File metadata

  • Download URL: tl4sm_generic-0.3.1.3.tar.gz
  • Upload date:
  • Size: 5.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.6

File hashes

Hashes for tl4sm_generic-0.3.1.3.tar.gz
Algorithm Hash digest
SHA256 644800ea53864dbd51ed46b5ddfbb9816a365b7dc4a7ff254db4982b2b1cbae1
MD5 f8a6ec1c7cbcd517267292ae37238ab2
BLAKE2b-256 360c6420c3153f3e240ed34bc0cdb6a59f448edcaf1a6644307ae857ca174011

See more details on using hashes here.

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