Hi Sean,
Apologies for the delayed reply. I've been away on vacation and then
busy catching up afterwards.
Regarding the evalution using MulticlassClassificationEvaluator: This is
a about a sequence labeling task to identify specific non-standard named
entities. The training and evaluation d
Hello!
Thank you for taking time out of your busy schedule to read my email,My English
is no good.
The company data is ciphertext and needs to be grouped by calling the
interface. Similar to two ciphertext data passed to the interface, the
interface returns true or false to determine whether
I don't think I'd expect an automatic conversion from a complex type like
Map to anything - implicit casts for primitive types are on the other hand
relatively common.
On Wed, Nov 10, 2021 at 6:01 PM Dhiren wrote:
> Hi Spark Users,
> I am trying to understand Spark’s type system a little better.
Hi Spark Users,
I am trying to understand Spark’s type system a little better. I see that
Spark implicitly casts some types to String and not for others. Here is an
example.
df = spark.createDataFrame([({"test": 1.0}, 2.0, 3.0, 4.0)],
("observed", "expected", "obs_wt
Hi Sean Owen,
Thank you very much for your quick response.
Could you please help us, with the below?
coming to the point, yes I did check the link you sent. but I did not get
whole clarity, what I am searching for.
Our Prod problem statement is:
=
1. Can we launch distri
It may be more feasible to replace the current slf4j + log4j with log4j2-api,
some projects that spark relies on may also use log4j at the code level, such
as EventCounter and ContainerLogAppender in Hadoop, directly removing the
dependency on log4j may lead to some code dependencies loss.
发
