v0.1.11

Update TensorFlow to 2.15

Wheel download: ptmlib-0.1.11-py3-none-any.whl

v0.1.10

Add caching for training history.

v0.1.9

Upgrade libraries, including TensorFlow 2.10

v0.1.8

Upgrade TensorFlow min version and related in requirements.txt

v0.1.7

PTMLib 0.1.7 includes support for the TensorFlow SavedModel format. This provides more flexibility for saving Deep Learning models with custom layers when using the PTMLib load_or_fit_model function.

v0.1.6

Documentation updates including a new Computer Vision with Model Caching Jupyter Notebook.

v0.1.5

Added the ptmlib.model_tools library with the load_or_fit_model() function: Train, save, and reload Tensorflow models and metric charts automatically, making it easier to pick up where you left off

v0.1.4

Upgrade TensorFlow to 2.5.2

v0.1.3

Add optional file_name_suffix param to show_history_chart

v0.1.2

Upgrade TensorFlow to 2.5.1; Add missing sckikit-learn to requirements.txt