Deprecated: Use of this version of talos is deprecated. More information on our Applications Support and Retention Policy.
There is a newer version of talosTalos radically changes the ordinary Keras workflow by fullyautomating hyperparameter tuning and model evaluation. Talos exposes Keras functionality entirely and there is no new syntax or templates to learn.
Accessing talos 0.4.9-foss-2018b-Python-3.6.6
To load the module for talos 0.4.9-foss-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load talos/0.4.9-foss-2018b-Python-3.6.6
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.
- astetik 1.9.8
- chances 0.1.6
- geonamescache 1.0.2
- kerasplotlib 0.1.4
- matplotlib 2.2.3
- seaborn 0.8.1
- sklearn 0.0
- talos 0.4.9
- tqdm 4.32.1
- wrangle 0.6.4
For more information visit the talos website.
This version of talos has a direct dependency on: foss/2018b IPython/6.4.0-foss-2018b-Python-3.6.6 Keras/2.2.4-foss-2018b-Python-3.6.6 Python/3.6.6-foss-2018b scikit-learn/0.20.0-foss-2018b-Python-3.6.6 scipy/1.2.0-foss-2018b-Python-3.6.6 statsmodels/0.9.0-foss-2018b-Python-3.6.6
These versions of talos are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 17th June 2019