keras-tuner 1.0.2-foss-2019b-Python-3.7.4A hyperparameter tuner for Keras, specifically for tf.keras with TensorFlow 2.0.
Accessing keras-tuner 1.0.2-foss-2019b-Python-3.7.4
To load the module for keras-tuner 1.0.2-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load keras-tuner/1.0.2-foss-2019b-Python-3.7.4
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- colorama 0.4.4
- terminaltables 3.1.0
For more information visit the keras-tuner website.
This version of keras-tuner has a direct dependency on: foss/2019b Python/3.7.4-GCCcore-8.3.0 scikit-learn/0.21.3-foss-2019b-Python-3.7.4 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4 TensorFlow/2.2.0-foss-2019b-Python-3.7.4 tqdm/4.41.1-GCCcore-8.3.0
Last modified on 2nd February 2021