write metadata properties to accept double or null value to create dataset

Hi @alessandro96 

You will need to work on the dataset itself to remove the missing values, there is nothing in the metadata file that will help for this.

Dealing with missing data is part of the data preparation step that is required for any machine learning activity.
This is the part that very often will take the longest however it is very important because the quality of the model directly depends on the quality of the data. If you input inaccurate or poor data, your predictive model will be poor, so it is worth spending time in getting a clean dataset.

Unfortunately this is not always easy and it can be time consuming, for that reason I can't really offer you a complete solution here.
You can though find a lot of resources on the Internet searching for Machine learning data preparation or data preparation missing values.

Posts like https://www.analyticsindiamag.com/5-ways-handle-missing-values-machine-learning-datasets/ or https://www.altexsoft.com/blog/datascience/preparing-your-dataset-for-machine-learning-8-basic-techniques-that-make-your-data-better/ are very common and give good information on how to handle this.

You can also contact PTC Professional Services who can help with the operation, though there will likely be a charge for it.

Hope this helps

Kind rgeards

Christophe