New model ready for testing!

[github-actions[bot]]

This model is ready for testing. If you are assigned to this issue, please try it out using the CLI, Google Colab and DockerHub and let us know if it works!

[samuelmaina]

@GemmaTuron and @emmakodes,

I have run the model successully in CLI and google colab, Most of the smiles have PPB_VALUES .The model produces nan vals for some smiles, N.N.[F-].[Ag+], [CaH2] and other single radicles such as F- .

• CLI
  • eos22io_cli_fetch.log
  • eos22io_eml_cli_pred.csv
• Colab
  • eos22io_colab_fetch.log
  • eos22io_colab_predictions.csv

Still haven't tested on docker but I will.

[simrantan]

@GemmaTuron @emmakodes Tested on all platforms, the model has worked successfully!

Docker: eos22ioLog.txt eos22ioOutput.txt

Colab: eos22io_colab_fetch.log Output:

CLI: Fetch Log: Checking setup: 0.299s Preparing model: 3.8285880088806152s Getting model: 6.896804571151733s Packing model: 357.17771649360657s Checking if model needs to be integrated to a tool: 0.0024085044860839844s Getting model card: 0.2633237838745117s 75%|███████████████████████████████████████████████████████████████▊ | 6/8 [06:08<02:15, 67.60s/it][] Checking that autoservice works: 2.7827041149139404s Sniffing model: 14.47920274734497s 100%|█████████████████████████████████████████████████████████████████████████████████████| 8/8 [06:27<00:00, 48.38s/it] 👍 Model eos22io fetched successfully!

Output:

[samuelmaina]

@GemmaTuron , done with docker testing

• eos22io_doc_fetch.log
• Was able to predict vals for eml dataset. Majority of the smiles have vals but there are some few that produce nan . The nan smiles are the same as those of nan vals in the cli.
  • eos22io_doc_output.csv
  • eos22io_docker_eml_pred.log

[GemmaTuron]

perfect we will close this issue as completed!