Known issues and limitations
Known issues and limitations The following limitations and known issues apply to watsonx. * [Regional limitations](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/region-lims.html) * [Notebooks](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/known-issues.html?context=cdpaas&locale=ennotebooks) * [Machine learning](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/known-issues.html?context=cdpaas&locale=enwmlissues) * [SPSS Modeler](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/known-issues.html?context=cdpaas&locale=enspssissues) * [Connections](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/known-issues.html?context=cdpaas&locale=enconnectissues) * [Watson Pipelines](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/known-issues.html?context=cdpaas&locale=enpipeline-issues) * [watsonx.governance](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/known-issues.html?context=cdpaas&locale=enxgov-issues) Notebook issues You might encounter some of these issues when getting started with and using notebooks. Manual installation of some tensor libraries is not supported Some tensor flow libraries are preinstalled, but if you try to install additional tensor flow libraries yourself, you get an error. Connection to notebook kernel is taking longer than expected after running a code cell If you try to reconnect to the kernel and immediately run a code cell (or if the kernel reconnection happened during code execution), the notebook doesn't reconnect to the kernel and no output is displayed for the code cell. You need to manually reconnect to the kernel by clicking Kernel > Reconnect. When the kernel is ready, you can try running the code cell again. Using the predefined sqlContext object in multiple notebooks causes an error You might receive an Apache Spark error if you use the predefined sqlContext object in multiple notebooks. Create a new sqlContext object for each notebook. See [this Stack Overflow explanation](http://stackoverflow.com/questions/38117849/you-must-build-spark-with-hive-export-spark-hive-true/3811811238118112). Connection failed message If your kernel stops, your notebook is no longer automatically saved. To save it, click File > Save manually, and you should get a Notebook saved message in the kernel information area, which appears before the Spark version. If you get a message that the kernel failed, to reconnect your notebook to the kernel click Kernel > Reconnect. If nothing you do restarts the kernel and you can't save the notebook, you can download it to save your changes by clicking File > Download as > Notebook (.ipynb). Then you need to create a new notebook based on your downloaded notebook file. Hyperlinks to notebook sections don't work in preview mode If your notebook contains sections that you link to from an introductory section at the top of the notebook for example, the links to these sections will not work if the notebook was opened in view-only mode in Firefox. However, if you open the notebook in edit mode, these links will work. Can't connect to notebook kernel If you try to run a notebook and you see the message Connecting to Kernel, followed by Connection failed. Reconnecting and finally by a connection failed error message, the reason might be that your firewall is blocking the notebook from running. If Watson Studio is installed behind a firewall, you must add the WebSocket connection wss://dataplatform.cloud.ibm.com to the firewall settings. Enabling this WebSocket connection is required when you're using notebooks and RStudio. Insufficient resources available error when opening or editing a notebook If you see the following message when opening or editing a notebook, the environment runtime associated with your notebook has resource issues: Insufficient resources available A runtime instance with the requested configuration can't be started at this time because the required hardware resources aren't available. Try again later or adjust the requested sizes. To find the cause, try checking the status page for IBM Cloud incidents affecting Watson Studio. Additionally, you can open a support case at the IBM Cloud Support portal. Machine learning issues You might encounter some of these issues when working with machine learning tools. Region requirements You can only associate a Watson Machine Learning service instance with your project when the Watson Machine Learning service instance and the Watson Studio instance are located in the same region. Accessing links if you create a service instance while associating a service with a project While you are associating a Watson Machine Learning service to a project, you have the option of creating a new service instance. If you choose to create a new service, the links on the service page might not work. To access the service terms, APIs, and documentation, right click the links to open them in new windows. Federated Learning assets cannot be searched in All assets, search results, or filter results in the new projects UI You cannot search Federated Learning assets from the All assets view, the search results, or the filter results of your project. Workaround: Click the Federated Learning asset to open the tool. Deployment issues * A deployment that is inactive (no scores) for a set time (24 hours for the free plan or 120 hours for a paid plan) is automatically hibernated. When a new scoring request is submitted, the deployment is reactivated and the score request is served. Expect a brief delay of 1 to 60 seconds for the first score request after activation, depending on the model framework. * For some frameworks, such as SPSS modeler, the first score request for a deployed model after hibernation might result in a 504 error. If this happens, submit the