Databricks

You can just declare your classes and in one cell, and use them in the others. It is recommended to get all your classes in one notebook, and use %run in the other to "import" those classes.The one thing you cannot do is to literally import a folder/...

The %/magic commands are notebook commands and not tied to any language so R notebook also supports %run.

@Trevor Bishop​ If you go to the History tab in DBSQL, click on the specific query and look at the execution details. At the bottom, you will see "Task time in Photon".

You can also tune the JVM's GC parameters directly, if you mean the pauses are too long. Set "spark.executor.extraJavaOptions", but it does require knowing a thing or two about how to tune for what performance goal.

def squared(s): return s * s spark.udf.register("squaredWithPython", squared)You can optionally set the return type of your UDF. The default return type is StringType.from pyspark.sql.types import LongType def squared_typed(s): return s * s spark...

EclipseIntelliJJupyterPyCharmSBTsparklyr and RStudio DesktopSparkR and RStudio DesktopVisual Studio Code

I Think Container is unable to talk to hosting instance or DBFS account. It Can be solved by adding a custom route to the subnets for the DBFS account with the next hop being public route.

Possible cause: the VNet or subnets do not exist any more. Make sure the VNet and subnets exist.

Artifacts like models, model metadata like the "MLmodel" file, input samples, and other logged artifacts like plots, config, network architectures, are stored as files. While these could be simple local filesystem files when the tracking server is ru...

For me, the main benefit is that it is little or no work to enable. For example, when autologging is enabled for a library like sklearn or Pytorch, a lot of information about a model is captured with no additional steps. Further in Databricks, the tr...