how to define java8 when submit application use spark-submit

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Hello Vespa Team,
Can you please consider support a properties-file which is available during run-time along with the model ? So some meta-data e.g. threshold/label, etc can be associated with the model.
This is for the stateless evaluation of the models like (XGBoost, TensorFlow, Onnx, etc) which is supported in vespa.

Thank you,
Pinank

Hi again,
a second issue I ran into is related to the userguide:
The example for Grouping on calculated columns regarding binning doesn't compile in v0.37.3 and apart from that doesn't lead to a reasonable result, as far as I see.

• Compilation isn't possible, as bin() returns a DoubleColumn (even if c

This is from the documentation at http://docs.seldon.io/api-oauth.html#actions

The item attribute definition is:
string name [attr_id 1]
string artist [attr_id 2]
enum category [attr_id 3]
double price [attr_id 4]
Where:
category is the enumeration
** (pop [value_id 1], rock [value_id 2], rap [value_id 3])
a range definition is created for the price ** (<10 [value_id 1], 10-20 [value_id

Following the instructions on the grobid site, I cannot embed grobid into my JAVA project due to poor instructions regarding Gradle and Maven. Also, I do not know how to use the APIs because the Java documentation has different parameters for the methods. Specifically, fullTextToTei take in different arguments than what is shown in the Java docs.

I have a qn on the below documentation where it talks about match_explorer. Where can i get more information on the stats available to use, formula and how to use it. max_raw_df is working, rest of the other metrics mentioned are giving me invalid stat type
https://elasticsearch-learning-to-rank.readthedocs.io/en/latest/feature-engineering.html?highlight=match_explorer

mongo --eval "db.getSiblingDB('admin').shutdownServer()" doesn't actually shut down the server correctly. I've had a better experience just doing

ps -a | grep mongo
kill [PID]

This could obviously use some more elaboration, and I could look at it more. But it's worth noting for now that the instructions aren't doing what they're supposed to.

The documentation in DJL was originally written with the expectation that users are reasonably familiar with deep learning. So, it does not go out of the way to define and explain some of the key concepts. To help users who are newer to deep learning, we created a [documentation convention](https://github.com/awslabs/djl/blob/master/docs/development/development_guideline.md#documentation-conventio

Expected Behavior

Ingestion and batch retrieval should use either "datetime" or "event_timestamp" and stick to one convention.

Current Behavior

During ingestion, the function expects the input dataframe to have a column named "datetime". However, this column is later renamed in-place to "event_timestamp" and saved as avro.

During batch retrieval, "event_timestamp" column is returne

Useful for source of truth tony version for an application.

But as we are currently targeting JDK 8, and a new API arrived in JDK 9, it does not make sense to do this yet. The next long-term Java version 11 is scheduled for end of September 2018.
So for ELKI 0.8 it is an option to target JDK 11, and use the new API then.

The generation of the diagrams for the user manual requires a lot of manual work: trigger the generation and copying the graphs into the right directory. This generation process needs to be unified and automated. Ideally one script call, e.g. generate_graphs.sh, should trigger the generation process and copy the results into the correct directory.

The place where the diagram generation code i

Is there any documentation on how to convert vectors into Instances, I see that all clusteres expect "Instance" instances not array of numbers, So I was wondering how to generate the header also what is classIndex, classValue. in my case the ground truth clusters are unknown.

provided that I have some vectors (Not one of the supported stream generators) without ground truth clusters, Could