Run simple settings with different autoencoder neural network settings

[richelbilderbeek]

Depends on

• [x] (#10 or the more hackerish) #16
• [x] #11

Currently, quantitative trait prediction is poor for simple settings. This is probably due to the latent layer consisting of 75 neurons, which is overkill 2 neurons.

Run the autoencode on simple settings with a latent layer of 1..10 neurons,

[richelbilderbeek]

Due to the gcaer-only workflow, this will be very easy.

[richelbilderbeek]

[richel@rackham2 ~]$ cat 20_start_issue_18.log 
Starting time: 2022-04-08T10:41:07+0200
Running on computer with HOSTNAME: r44
Running at location /home/richel
gcae_experiment_params_filename: /home/richel/sim_data_issue_18/experiment_params.csv
unique_id: issue_18
sbatch: error: Invalid directive found in batch script: defined
End time: 2022-04-08T10:41:07+0200
Duration: 0 seconds
[richel@rackham2 ~]$ 

[richelbilderbeek]

[richel@rackham2 ~]$ ./nsphs_ml_qt/scripts_rackham/20_start_issue_18.sh 
Starting time: 2022-04-08T11:27:36+0200
Running on computer with HOSTNAME: rackham2.uppmax.uu.se
Running at location /home/richel
gcae_experiment_params_filename: /home/richel/sim_data_issue_18/experiment_params.csv
unique_id: issue_18
jobid_21: 25760509
jobid_22: 25760510
jobid_25: 25760511
End time: 2022-04-08T11:27:36+0200
Duration: 0 seconds
[richel@rackham2 ~]$ q
             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)
          25760509      core 21_creat   richel PD       0:00      1 (None)
          25760510      core 22_creat   richel PD       0:00      1 (None)
          25760511      core 25_run.s   richel PD       0:00      1 (Dependency)
[richel@rackham2 ~]$ q

[richelbilderbeek]

We are not interested in this anymore, for now. First use real data, so the autoencoder is not underwhelmed, then take it from there.

Done!