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
Release history Release notifications | RSS feed
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)
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 644800ea53864dbd51ed46b5ddfbb9816a365b7dc4a7ff254db4982b2b1cbae1 |
|
MD5 | f8a6ec1c7cbcd517267292ae37238ab2 |
|
BLAKE2b-256 | 360c6420c3153f3e240ed34bc0cdb6a59f448edcaf1a6644307ae857ca174011 |